ai-lightrag/index_data/kv_store_llm_response_cache.json

{
  "default:extract:60226d63cf965c08fe2d8f8c1af92053": {
    "return": "entity<|#|>LightRAG<|#|>Artifact<|#|>A new framework that combines graph structures with vector search for retrieval-augmented generation.\nentity<|#|>RAG Systems<|#|>Concept<|#|>Traditional retrieval-augmented generation systems with limitations such as lack of global context understanding.\nentity<|#|>Graph Structures<|#|>Concept<|#|>Structures used for graph traversal to understand high-level concepts in LightRAG.\nentity<|#|>Vector Search<|#|>Method<|#|>A search method used for retrieving specific details in LightRAG.\nentity<|#|>Two-Step Retrieval Process<|#|>Method<|#|>A retrieval process in LightRAG involving graph traversal for concepts and vector search for details.\nentity<|#|>Customer Service Scenarios<|#|>Concept<|#|>Scenarios where LightRAG can be applied to provide comprehensive answers.\nentity<|#|>Complex Questions<|#|>Content<|#|>Questions like \"How does the refund process work?\" that require comprehensive answers from LightRAG.\nentity<|#|>Simple Factual Queries<|#|>Content<|#|>Queries like \"What is the reset password URL?\" that might be handled faster by simple vector search.\nrelation<|#|>LightRAG<|#|>Graph Structures<|#|>combination, framework integration<|#|>LightRAG incorporates graph structures to enhance retrieval capabilities.\nrelation<|#|>LightRAG<|#|>Vector Search<|#|>combination, framework integration<|#|>LightRAG incorporates vector search for detailed information retrieval.\nrelation<|#|>LightRAG<|#|>RAG Systems<|#|>improvement, problem-solving<|#|>LightRAG is designed to solve the limitations of traditional RAG systems.\nrelation<|#|>LightRAG<|#|>Two-Step Retrieval Process<|#|>utilization, process implementation<|#|>LightRAG uses a two-step retrieval process for efficient information retrieval.\nrelation<|#|>LightRAG<|#|>Customer Service Scenarios<|#|>application, use case<|#|>LightRAG can be applied in customer service scenarios to handle complex questions.\nrelation<|#|>LightRAG<|#|>Complex Questions<|#|>answering, comprehensive response<|#|>LightRAG provides comprehensive answers to complex questions in customer service.\nrelation<|#|>Vector Search<|#|>Simple Factual Queries<|#|>efficiency, faster retrieval<|#|>Vector search might be faster for handling simple factual queries compared to LightRAG's full process.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-b6c5b922b6b0caea736d980cccc63a98",
    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\nLightRAG (Retrieval-Augmented Generation) is a new framework that combines graph structures with vector search.\nIt is designed to solve the limitations of traditional RAG systems, such as lack of global context understanding.\nLightRAG uses a two-step retrieval process: graph traversal for high-level concepts and vector search for specific details.\nFor customer service scenarios, LightRAG can provide more comprehensive answers to complex questions like \"How does the refund process work?\".\nHowever, for simple factual queries like \"What is the reset password URL?\", a simple vector search might be faster.\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767867069,
    "update_time": 1767867069,
    "_id": "default:extract:60226d63cf965c08fe2d8f8c1af92053"
  },
  "default:extract:ece4f8c85dfd451335fe1977b3426adf": {
    "return": "entity<|#|>Global Context Understanding<|#|>Concept<|#|>A limitation in traditional RAG systems referring to the inability to understand broader context, which LightRAG aims to solve.\nentity<|#|>Graph Traversal<|#|>Method<|#|>A retrieval method used in LightRAG's two-step process for accessing high-level concepts through graph structures.\nentity<|#|>High-Level Concepts<|#|>Concept<|#|>Abstract or broad concepts that are targeted by graph traversal in LightRAG's retrieval process.\nentity<|#|>Specific Details<|#|>Concept<|#|>Detailed and specific information that is targeted by vector search in LightRAG's retrieval process.\nrelation<|#|>LightRAG<|#|>Global Context Understanding<|#|>problem-solving, context enhancement<|#|>LightRAG is designed to address the lack of global context understanding found in traditional RAG systems.\nrelation<|#|>RAG Systems<|#|>Global Context Understanding<|#|>limitation, deficiency<|#|>Traditional RAG systems have the limitation of lacking global context understanding.\nrelation<|#|>Two-Step Retrieval Process<|#|>Graph Traversal<|#|>inclusion, method application<|#|>The two-step retrieval process incorporates graph traversal for retrieving high-level concepts.\nrelation<|#|>Two-Step Retrieval Process<|#|>Vector Search<|#|>inclusion, method application<|#|>The two-step retrieval process incorporates vector search for retrieving specific details.\nrelation<|#|>Graph Traversal<|#|>High-Level Concepts<|#|>targeting, concept access<|#|>Graph traversal is used to target and access high-level concepts during retrieval.\nrelation<|#|>Vector Search<|#|>Specific Details<|#|>targeting, detail access<|#|>Vector search is used to target and access specific details during retrieval.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-b6c5b922b6b0caea736d980cccc63a98",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\nLightRAG (Retrieval-Augmented Generation) is a new framework that combines graph structures with vector search.\\nIt is designed to solve the limitations of traditional RAG systems, such as lack of global context understanding.\\nLightRAG uses a two-step retrieval process: graph traversal for high-level concepts and vector search for specific details.\\nFor customer service scenarios, LightRAG can provide more comprehensive answers to complex questions like \\\"How does the refund process work?\\\".\\nHowever, for simple factual queries like \\\"What is the reset password URL?\\\", a simple vector search might be faster.\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>LightRAG<|#|>Artifact<|#|>A new framework that combines graph structures with vector search for retrieval-augmented generation.\\nentity<|#|>RAG Systems<|#|>Concept<|#|>Traditional retrieval-augmented generation systems with limitations such as lack of global context understanding.\\nentity<|#|>Graph Structures<|#|>Concept<|#|>Structures used for graph traversal to understand high-level concepts in LightRAG.\\nentity<|#|>Vector Search<|#|>Method<|#|>A search method used for retrieving specific details in LightRAG.\\nentity<|#|>Two-Step Retrieval Process<|#|>Method<|#|>A retrieval process in LightRAG involving graph traversal for concepts and vector search for details.\\nentity<|#|>Customer Service Scenarios<|#|>Concept<|#|>Scenarios where LightRAG can be applied to provide comprehensive answers.\\nentity<|#|>Complex Questions<|#|>Content<|#|>Questions like \\\"How does the refund process work?\\\" that require comprehensive answers from LightRAG.\\nentity<|#|>Simple Factual Queries<|#|>Content<|#|>Queries like \\\"What is the reset password URL?\\\" that might be handled faster by simple vector search.\\nrelation<|#|>LightRAG<|#|>Graph Structures<|#|>combination, framework integration<|#|>LightRAG incorporates graph structures to enhance retrieval capabilities.\\nrelation<|#|>LightRAG<|#|>Vector Search<|#|>combination, framework integration<|#|>LightRAG incorporates vector search for detailed information retrieval.\\nrelation<|#|>LightRAG<|#|>RAG Systems<|#|>improvement, problem-solving<|#|>LightRAG is designed to solve the limitations of traditional RAG systems.\\nrelation<|#|>LightRAG<|#|>Two-Step Retrieval Process<|#|>utilization, process implementation<|#|>LightRAG uses a two-step retrieval process for efficient information retrieval.\\nrelation<|#|>LightRAG<|#|>Customer Service Scenarios<|#|>application, use case<|#|>LightRAG can be applied in customer service scenarios to handle complex questions.\\nrelation<|#|>LightRAG<|#|>Complex Questions<|#|>answering, comprehensive response<|#|>LightRAG provides comprehensive answers to complex questions in customer service.\\nrelation<|#|>Vector Search<|#|>Simple Factual Queries<|#|>efficiency, faster retrieval<|#|>Vector search might be faster for handling simple factual queries compared to LightRAG's full process.\\n<|COMPLETE|>\"}]",
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  "hybrid:keywords:08488238d1291c428c0456be9cc58f1f": {
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    "cache_type": "keywords",
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    "original_prompt": "What is LightRAG?",
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    "return": "LightRAG (Retrieval-Augmented Generation) is **a new framework that combines graph structures with vector search**. It is designed as an advancement over traditional RAG systems, specifically aiming to solve their limitations, such as a **lack of global context understanding**[1].\n\nThe core innovation of LightRAG is its **two-step retrieval process**. This process first uses **graph traversal to retrieve high-level concepts and their relationships**, providing a broad, interconnected understanding of the topic. Then, it employs **vector search to pinpoint and access specific details** within the retrieved information. This hybrid approach allows it to handle complex, multi-faceted questions more effectively than systems relying on a single retrieval method[1].\n\nA primary application for LightRAG is in **customer service scenarios**, where it can provide comprehensive and context-aware answers to complex inquiries. For example, it is well-suited to answer detailed questions like \"How does the refund process work?\" by leveraging both the global context from the graph and precise details from the vector search. However, for very simple and factual queries, such as \"What is the reset password URL?\", a standalone vector search might offer a faster response[1].\n\n### References\n\n* [1] Document Title One",
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  "default:extract:b60388bf012703b0b0d8a18e56cc8301": {
    "return": "entity<|#|>Huoyitong<|#|>Organization<|#|>A platform for managing and uploading goods where commodities are synchronized.\nentity<|#|>Commodity Upload Bookmark Plugin<|#|>Artifact<|#|>A browser plugin that facilitates the upload of goods to the Huoyitong platform.\nentity<|#|>Commodity Collection Assistant H5<|#|>Artifact<|#|>An H5-based tool for assisting in the collection of product information.\nentity<|#|>Browser Bookmark<|#|>Artifact<|#|>A feature in web browsers used to save and execute the upload plugin.\nentity<|#|>Bookmark Bar<|#|>Artifact<|#|>The toolbar in a browser where bookmarks are displayed.\nentity<|#|>JD.com Commodity<|#|>Content<|#|>Products available on the JD.com e-commerce platform.\nentity<|#|>vivoX300 Pro<|#|>Artifact<|#|>A smartphone model used as an example product in the guide.\nentity<|#|>JD.com<|#|>Organization<|#|>An online retail organization that hosts various commodities.\nentity<|#|>SPU Code<|#|>Data<|#|>A product identification code used in Huoyitong for synchronization.\nentity<|#|>AI Recognition<|#|>Method<|#|>A method that uses artificial intelligence to identify and adjust product attributes.\nentity<|#|>Huoyitong Commodity List<|#|>Data<|#|>A list or database of products within the Huoyitong platform.\nentity<|#|>Edit Button<|#|>Artifact<|#|>A user interface element that allows editing of product details in Huoyitong.\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>Huoyitong<|#|>upload, synchronization<|#|>The plugin uploads and synchronizes goods to the Huoyitong platform.\nrelation<|#|>Commodity Collection Assistant H5<|#|>Commodity Upload Bookmark Plugin<|#|>setup, initiation<|#|>The H5 assistant is used to set up and initiate the bookmark plugin.\nrelation<|#|>Browser Bookmark<|#|>Commodity Upload Bookmark Plugin<|#|>access, execution<|#|>The browser bookmark provides access to execute the upload plugin.\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>JD.com Commodity<|#|>collection, data sourcing<|#|>The plugin collects product data from JD.com commodities.\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>AI Recognition<|#|>utilization, parameter correction<|#|>The plugin utilizes AI recognition to correct product parameters.\nrelation<|#|>Huoyitong<|#|>SPU Code<|#|>code generation, identification<|#|>Huoyitong uses SPU codes for product identification after upload.\nrelation<|#|>Huoyitong Commodity List<|#|>Edit Button<|#|>interface, modification<|#|>The commodity list includes an edit button for modifying product details.\n<|COMPLETE|>",
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    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\n货易通商品上传书签插件使⽤指南\n1.打开商品采集助⼿ H5\n2.根据⻚⾯提示添加浏览器书签\n1. 确保浏览器的书签栏是显示的  ( 快捷键 : Ctrl/Cmd + Shift + B)\n2. ⿏标按住蓝⾊按钮  “ 👉  拖拽我到书签栏 ”  不放。\n3. 将其拖动到书签栏上，然后松开⿏标\n3.打开想要采集的商品详情\n例：  \n⽹⻚商品采集助⼿\nhttps://media.22233.cn/ai-tool/bookmarklet/fetch-product/hyt.html\n1 / 5\n4.开始采集\n1. 点击书签栏上的书签按钮即可运⾏\n2. 等待抓取完成，显示商品信息\n3. 使⽤滚轮或右侧下拉，可查看完整商品属性\n京东商品 - 【 vivoX300\nPro 】\nhttps://item.jd.com/100209776605.html\n2 / 5\n4. 修改 AI 识别异常或⾃定义参数值\n注意：框内参数为必填项（V1.1 版本已移除该批参数）\n5.商品同步⾄货易通\n1. 点击 “ 确认⼊库 ” 按钮，商品同步⾄货易通\n3 / 5\n2. 同步⾄货易通成功\n复制 SPU 编码\n点击预览商品详情，跳转⾄货易通商品列表\n6.上传结果校验\n1. 查询上传成功商品\n●\n●\n4 / 5\n2. 若有编辑需要，点击当前商品 “ 编辑 ” 按钮进⼊编辑⻚进⾏编辑\n5 / 5\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767867688,
    "update_time": 1767867688,
    "_id": "default:extract:b60388bf012703b0b0d8a18e56cc8301"
  },
  "default:extract:9e5df90f0861a3c7910041b6f87e0fb1": {
    "return": "entity<|#|>Huoyitong Commodity Upload Bookmark Plugin User Guide<|#|>Content<|#|>A user guide that provides instructions on how to use the Commodity Upload Bookmark Plugin for Huoyitong.\nentity<|#|>Confirm入库 Button<|#|>Artifact<|#|>A button in the plugin interface that triggers the synchronization of goods to Huoyitong.\nentity<|#|>Preview Product Details Link<|#|>Artifact<|#|>A link that allows users to preview product details and jump to the Huoyitong commodity list.\nentity<|#|>Upload Result Verification<|#|>Method<|#|>The process of checking and verifying the success of uploaded goods in Huoyitong.\nentity<|#|>V1.1 Version<|#|>Data<|#|>Version 1.1 of the plugin or guide, which has removed certain parameters.\nentity<|#|>Commodity Collection Assistant Page<|#|>Content<|#|>A web page hosting the Commodity Collection Assistant tool for fetching products.\nrelation<|#|>Huoyitong Commodity Upload Bookmark Plugin User Guide<|#|>Commodity Upload Bookmark Plugin<|#|>instruction, documentation<|#|>The user guide provides instructions on how to use the Commodity Upload Bookmark Plugin.\nrelation<|#|>Confirm入库 Button<|#|>Huoyitong<|#|>synchronization, trigger<|#|>Clicking the Confirm入库 button initiates the synchronization of goods to the Huoyitong platform.\nrelation<|#|>Preview Product Details Link<|#|>Huoyitong Commodity List<|#|>navigation, preview<|#|>The preview link allows users to navigate to the Huoyitong commodity list to view product details.\nrelation<|#|>Upload Result Verification<|#|>Huoyitong Commodity List<|#|>verification, quality control<|#|>The upload result verification process involves checking the successfully uploaded goods in the Huoyitong commodity list.\nrelation<|#|>V1.1 Version<|#|>Commodity Upload Bookmark Plugin<|#|>versioning, update<|#|>V1.1 is a version of the Commodity Upload Bookmark Plugin that has removed certain parameters.\nrelation<|#|>Commodity Collection Assistant Page<|#|>Commodity Collection Assistant H5<|#|>hosting, access<|#|>The Commodity Collection Assistant Page hosts the H5 tool for setting up the bookmark plugin.\nrelation<|#|>JD.com<|#|>vivoX300 Pro<|#|>hosting, product listing<|#|>JD.com lists the vivoX300 Pro smartphone as a commodity on its platform.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-f81f35bc9b80ad090548c6ab91439368",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\n货易通商品上传书签插件使⽤指南\\n1.打开商品采集助⼿ H5\\n2.根据⻚⾯提示添加浏览器书签\\n1. 确保浏览器的书签栏是显示的  ( 快捷键 : Ctrl/Cmd + Shift + B)\\n2. ⿏标按住蓝⾊按钮  “ 👉  拖拽我到书签栏 ”  不放。\\n3. 将其拖动到书签栏上，然后松开⿏标\\n3.打开想要采集的商品详情\\n例：  \\n⽹⻚商品采集助⼿\\nhttps://media.22233.cn/ai-tool/bookmarklet/fetch-product/hyt.html\\n1 / 5\\n4.开始采集\\n1. 点击书签栏上的书签按钮即可运⾏\\n2. 等待抓取完成，显示商品信息\\n3. 使⽤滚轮或右侧下拉，可查看完整商品属性\\n京东商品 - 【 vivoX300\\nPro 】\\nhttps://item.jd.com/100209776605.html\\n2 / 5\\n4. 修改 AI 识别异常或⾃定义参数值\\n注意：框内参数为必填项（V1.1 版本已移除该批参数）\\n5.商品同步⾄货易通\\n1. 点击 “ 确认⼊库 ” 按钮，商品同步⾄货易通\\n3 / 5\\n2. 同步⾄货易通成功\\n复制 SPU 编码\\n点击预览商品详情，跳转⾄货易通商品列表\\n6.上传结果校验\\n1. 查询上传成功商品\\n●\\n●\\n4 / 5\\n2. 若有编辑需要，点击当前商品 “ 编辑 ” 按钮进⼊编辑⻚进⾏编辑\\n5 / 5\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>Huoyitong<|#|>Organization<|#|>A platform for managing and uploading goods where commodities are synchronized.\\nentity<|#|>Commodity Upload Bookmark Plugin<|#|>Artifact<|#|>A browser plugin that facilitates the upload of goods to the Huoyitong platform.\\nentity<|#|>Commodity Collection Assistant H5<|#|>Artifact<|#|>An H5-based tool for assisting in the collection of product information.\\nentity<|#|>Browser Bookmark<|#|>Artifact<|#|>A feature in web browsers used to save and execute the upload plugin.\\nentity<|#|>Bookmark Bar<|#|>Artifact<|#|>The toolbar in a browser where bookmarks are displayed.\\nentity<|#|>JD.com Commodity<|#|>Content<|#|>Products available on the JD.com e-commerce platform.\\nentity<|#|>vivoX300 Pro<|#|>Artifact<|#|>A smartphone model used as an example product in the guide.\\nentity<|#|>JD.com<|#|>Organization<|#|>An online retail organization that hosts various commodities.\\nentity<|#|>SPU Code<|#|>Data<|#|>A product identification code used in Huoyitong for synchronization.\\nentity<|#|>AI Recognition<|#|>Method<|#|>A method that uses artificial intelligence to identify and adjust product attributes.\\nentity<|#|>Huoyitong Commodity List<|#|>Data<|#|>A list or database of products within the Huoyitong platform.\\nentity<|#|>Edit Button<|#|>Artifact<|#|>A user interface element that allows editing of product details in Huoyitong.\\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>Huoyitong<|#|>upload, synchronization<|#|>The plugin uploads and synchronizes goods to the Huoyitong platform.\\nrelation<|#|>Commodity Collection Assistant H5<|#|>Commodity Upload Bookmark Plugin<|#|>setup, initiation<|#|>The H5 assistant is used to set up and initiate the bookmark plugin.\\nrelation<|#|>Browser Bookmark<|#|>Commodity Upload Bookmark Plugin<|#|>access, execution<|#|>The browser bookmark provides access to execute the upload plugin.\\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>JD.com Commodity<|#|>collection, data sourcing<|#|>The plugin collects product data from JD.com commodities.\\nrelation<|#|>Commodity Upload Bookmark Plugin<|#|>AI Recognition<|#|>utilization, parameter correction<|#|>The plugin utilizes AI recognition to correct product parameters.\\nrelation<|#|>Huoyitong<|#|>SPU Code<|#|>code generation, identification<|#|>Huoyitong uses SPU codes for product identification after upload.\\nrelation<|#|>Huoyitong Commodity List<|#|>Edit Button<|#|>interface, modification<|#|>The commodity list includes an edit button for modifying product details.\\n<|COMPLETE|>\"}]",
    "queryparam": null,
    "create_time": 1767867734,
    "update_time": 1767867734,
    "_id": "default:extract:9e5df90f0861a3c7910041b6f87e0fb1"
  },
  "hybrid:keywords:6ecae5bba26426d222e5a7750e03a916": {
    "return": "{\"high_level_keywords\": [\"Password reset\", \"Account management\"], \"low_level_keywords\": [\"Forgot password\", \"Email verification\", \"New password\"]}",
    "cache_type": "keywords",
    "chunk_id": null,
    "original_prompt": "如何重置密码？",
    "queryparam": {
      "mode": "hybrid",
      "response_type": "Multiple Paragraphs",
      "top_k": 5,
      "chunk_top_k": 20,
      "max_entity_tokens": 6000,
      "max_relation_tokens": 8000,
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    "return": "根据提供的上下文信息，其中没有包含关于如何重置密码的具体步骤、链接或操作指南。\n\n您所查询的“重置密码”在上下文中仅作为一个“简单事实查询”的示例被提及（例如“What is the reset password URL?”），用于说明此类问题可能适合使用向量搜索快速处理。然而，上下文内的**所有文档**均未提供实际的密码重置方法、相关网址或任何操作说明。\n\n因此，基于现有的知识库，我无法为您提供重置密码的解答。\n\n### References\n\n* [1] 货易通商品上传书签插件使⽤指南",
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    "return": "{\"high_level_keywords\": [\"E-commerce data collection\", \"System integration\"], \"low_level_keywords\": [\"E-commerce website\", \"Product data\", \"\\u8d27\\u6613\\u901a\"]}",
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    "original_prompt": "我要将电商网站的商品数据采集至货易通，我该怎么做",
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    "return": "要将电商网站的商品数据采集至货易通，您需要使用**商品上传书签插件**来完成。以下是基于官方指南的详细操作步骤：\n\n**第一步：打开并设置商品采集助手**\n首先，您需要访问商品采集助手的H5页面。该页面是启动整个采集流程的入口，用于获取并设置浏览器书签插件。\n\n**第二步：添加插件到浏览器书签**\n在商品采集助手页面，您需要将插件添加为浏览器书签。具体操作是：确保浏览器书签栏处于显示状态，然后用鼠标按住页面上的蓝色按钮“👉 拖拽我到书签栏”，将其拖动到书签栏上再松开。这样，插件就以书签形式保存在您的浏览器中，方便随时调用。\n\n**第三步：采集目标商品数据**\n接下来，打开您想要采集的电商商品详情页（例如京东的商品页面）。然后，点击您刚刚添加到书签栏上的插件按钮。插件会自动运行，抓取该页面的商品信息。抓取完成后，界面会显示所有商品属性，您可以使用滚轮或下拉查看完整信息。插件具备AI识别功能，可以自动校正产品参数，您也可以根据需要手动修改或自定义某些参数值。\n\n**第四步：将商品同步至货易通**\n确认商品信息无误后，点击插件界面中的 **“确认入库”按钮**。点击此按钮会触发同步流程，将当前采集的商品数据上传并同步到货易通平台。成功同步后，系统会提供该商品在货易通的**SPU编码**，并显示“同步至货易通成功”的提示。\n\n**第五步：验证上传结果**\n您可以通过点击“预览商品详情”链接，直接跳转至**货易通商品列表**页面，查看刚刚上传的商品。在此列表中，您可以查询所有已成功上传的商品。如果需要对商品信息进行进一步调整，可以点击商品旁的 **“编辑”按钮**，进入编辑页面进行修改。\n\n### 参考文献\n- [1] 货易通商品上传书签插件使用指南",
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    "return": "{\"high_level_keywords\": [\"LightRAG\", \"Core advantages\"], \"low_level_keywords\": [\"LightRAG\", \"advantages\"]}",
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    "original_prompt": "LightRAG 的核心优势是什么？",
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    "return": "entity<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>Organization<|#|>A company that has established an attendance management system to regulate employee attendance, leave, and vacations.\nentity<|#|>Attendance Management System (2021 Version)<|#|>Concept<|#|>A set of rules and procedures designed to standardize and manage employee attendance, leave, and vacation policies.\nentity<|#|>General Manager<|#|>Other<|#|>The position exempted from the applicability of the attendance management system, as specified in its scope.\nentity<|#|>Labor Law<|#|>Content<|#|>A national law referenced in the attendance management system for defining work hours and employee rights.\nentity<|#|>Labor Contract Law<|#|>Content<|#|>A national law referenced alongside the Labor Law in the attendance management system.\nentity<|#|>DingTalk<|#|>Artifact<|#|>A software application used for submitting and approving leave and business trip applications within the company.\nentity<|#|>Business Trip Application Form<|#|>Artifact<|#|>A form that must be filled out via DingTalk to request approval for business trips.\nentity<|#|>Late Arrival<|#|>Concept<|#|>Defined as arriving at work 1 minute to 2 hours after the scheduled time, subject to financial penalties and impact on bonuses.\nentity<|#|>Early Leave<|#|>Concept<|#|>Defined as leaving work before the scheduled time, subject to fines and potential contract termination.\nentity<|#|>Absenteeism<|#|>Concept<|#|>Defined as being absent for more than 2 hours without approval, leading to salary deductions and possible job termination.\nentity<|#|>Personal Leave<|#|>Concept<|#|>Approved leave taken for personal reasons, affecting attendance records and eligibility for bonuses.\nentity<|#|>Business Trip<|#|>Concept<|#|>Company-sanctioned travel for work, considered as normal attendance with standard pay and benefits.\nentity<|#|>Full Attendance Award<|#|>Concept<|#|>A monthly bonus that is forfeited in cases of late arrival, personal leave, or sick leave.\nentity<|#|>Year-end Bonus<|#|>Concept<|#|>An annual bonus that can be cancelled due to attendance violations such as excessive late arrivals or personal leaves.\nentity<|#|>Performance Salary<|#|>Concept<|#|>Monthly performance-based pay that can be deducted for attendance issues like late arrivals.\nentity<|#|>National Standard Working Hours<|#|>Concept<|#|>The standard work hours referenced in the system, with company-specific adjustments such as 09:30 to 18:30.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>implementation, regulation<|#|>The attendance management system is implemented by Chengdu Blue Brothers Network Technology Co., Ltd. to regulate employee behavior.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>General Manager<|#|>exemption, scope<|#|>The attendance management system explicitly excludes the General Manager from its applicability.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Labor Law<|#|>reference, legal basis<|#|>The system references the Labor Law to establish legal standards for work hours and employee rights.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Labor Contract Law<|#|>reference, legal compliance<|#|>The system references the Labor Contract Law alongside the Labor Law for comprehensive legal compliance.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Late Arrival<|#|>definition, penalty<|#|>The system defines the criteria and penalties for late arrival, including financial deductions and bonus impacts.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Early Leave<|#|>definition, penalty<|#|>The system defines early leave and specifies fines and termination risks associated with it.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Absenteeism<|#|>definition, severe penalty<|#|>The system defines absenteeism and outlines severe penalties such as salary deductions and contract termination.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Personal Leave<|#|>definition, management<|#|>The system defines personal leave and its approval process, linking it to attendance records.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Business Trip<|#|>definition, management<|#|>The system defines business trip procedures, including application and attendance counting.\nrelation<|#|>Late Arrival<|#|>Full Attendance Award<|#|>penalty, impact<|#|>Late arrival results in the cancellation of the monthly full attendance award as per the system rules.\nrelation<|#|>Late Arrival<|#|>Year-end Bonus<|#|>penalty, impact<|#|>Excessive late arrivals can lead to the cancellation of the year-end bonus under the system's provisions.\nrelation<|#|>Late Arrival<|#|>Performance Salary<|#|>penalty, impact<|#|>Late arrivals may result in the deduction of monthly performance salary according to the system.\nrelation<|#|>Early Leave<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>penalty, enforcement<|#|>Early leave incurs fines and potential contract termination enforced by the company as per the system.\nrelation<|#|>Absenteeism<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>penalty, termination<|#|>Absenteeism can lead to salary deductions and contract termination by the company based on system rules.\nrelation<|#|>DingTalk<|#|>Business Trip Application Form<|#|>submission, approval<|#|>DingTalk is used to submit and process the business trip application form for approvals.\nrelation<|#|>Business Trip<|#|>Business Trip Application Form<|#|>requirement, process<|#|>Business trips require the submission of a business trip application form via DingTalk as per the system.\n<|COMPLETE|>",
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    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\n1 / 10\n成都蓝色兄弟网络科技有限公司\n考勤管理制度（2021年版本）\n1.0目的\n为了促进规范化、标准化建设工作，维护正常的办公秩序，提高工作效\n率，规范员工考勤、请休假管理，参照国家有关法律法规，结合企业实际情\n况，特制定本制度。\n2.0适用范围和传达对象\n2.1适用范围\n本制度适用于除总经理以外的全体员工。\n2.2传达对象\n本制度必须传达至各部门及所有员工。\n3.0术语\n出勤：指员工于规定的工作时间，按时到岗位从事本职工作。按照《劳\n动法》和《劳动合同法》及国家有关法律法规规定，结合公司实际情况而规\n定的应出勤天数。\n4.0管理程序与要求\n4.1出勤管理\n公司实行国家标准工作时\n员工日标准工作时间为09：30—18:30（含1小时午休时间）。\n4.1.1迟到\n4.1.1.1时间计算\n自公司规定上班时间起至员工实际到岗时间止，1 分钟（含）以上，2\n小时以内的记为员工迟到时间，并给予处罚。\n4.1.1.2处罚规定\na、迟到/事假/病假，取消当月全勤奖；\n2 / 10\n迟到30分钟以内（9:31-10:00）每次扣款50元；\n10:01-10:30迟到每次扣款100元；\n10:31-11:30迟到每次扣款200元\nb、当月迟到前 2 次按前述条款正常扣款，2 次之后每迟到 1 分钟，按\n50元/分钟计算\nc、当月迟到5 次，或当月事假+迟到=5 次，取消当年年终奖，并扣除当\n月全部绩效工资。\nd、当月迟到10 次，或当月事假+迟到次数=10次，如无特殊原因，属严\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全\n部绩效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\n4.1.2早退\n4.1.2.1时间计算\n以员工提前下班的时间开始计算，至规定的下班时间为止，以上时间均\n计为早退时间。\n4.1.2.2处罚规定\na、早退每次罚款50元；\nb、超过30分钟者，罚款100元；\nc、当月累计早退超过5次，公司可单方面解除劳动合同。\n4.1.3旷工\n4.1.3.1时间计算\na、以公司规定的上班时间起，员工未到岗时间超过2 小时以上的计为旷\n工时间；以公司规定的下班时间为准，员工提前离岗时间超过2小时以上的\n计为旷工时间。\nb、员工旷工时间在4小时以内(含4 小时)按旷工半天计算；旷工时间在\n4小时至一个工作日以内的，按旷工1 天计算。\n3 / 10\n4.1.3.2处罚规定\na、旷工期间不发放任何薪资；\nb、旷工半天处罚1.5天工资的标准及岗位津贴、福利补助；\nc、旷工一天处罚3 天工资的标准及岗位津贴、福利补助；\nd、一月内连续旷工3天或累计旷工5 天的，公司将解除员工劳动合同；\ne、全年累计旷工7 天的，公司将解除员工劳动合同；\nf、员工旷工影响公司正常经营的，公司将根据实际工作需要调整其工作\n岗位，如不接受公司岗位调整安排，公司可解除员工劳动合同；\n4.1.3.3员工未经批准休假的，休假期间视为旷工；员工以不正当手段骗取、\n涂改、伪造休假证明的，按旷工处理。\n4.1.4出差\n4.1.4.1时间计算\n以员工接受出差任务离开公司时开始起算，至员工返回所在公司出勤时\n为止，以上均计为出差时间。\n4.1.4.2薪资待遇\n员工出差按正常出勤处理，享受所在岗位的规定薪资待遇。\n4.1.4.3相关规定\na、员工出差期间的出勤证明由员工所在部门负责人或出差期间项目负责\n人提供，经部门负责人钉钉签字确认；\nb、出差须钉钉填写出差申请表\n4.2日常假期管理\n4.2.1事假\n4.2.1.1事假的界定\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\n提出休假申请经批准的，休息期间为事假。\n4 / 10\n4.2.1.2事假的审批程序\n员工有事必须亲自申请事假，并钉<E5B9B6>\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767925684,
    "update_time": 1767925684,
    "_id": "default:extract:15fa487345b05bb0f48dd30f6ea92c3a"
  },
  "default:extract:c2a5ec6508f9fef14dfa55417b772f93": {
    "return": "entity<|#|>Attendance<|#|>Concept<|#|>Defined as employees being at their posts during prescribed working hours to perform duties, based on laws and company regulations.\nentity<|#|>Sick Leave<|#|>Concept<|#|>A type of leave due to illness that, along with late arrival and personal leave, can lead to the cancellation of the full attendance award.\nentity<|#|>Lunch Break<|#|>Concept<|#|>A one-hour break included in the standard working day from 09:30 to 18:30 as specified in the attendance system.\nentity<|#|>Key Observation Personnel List<|#|>Concept<|#|>A list where employees are placed for close monitoring due to severe attendance violations such as excessive late arrivals.\nentity<|#|>Persuasion to Resign<|#|>Concept<|#|>A disciplinary action where the company persuades an employee to resign, applied in cases of repeated attendance violations.\nentity<|#|>Position Allowance and Welfare Subsidy<|#|>Concept<|#|>Allowances and subsidies associated with the employee's position, which can be deducted as penalties for absenteeism.\nentity<|#|>Project Leader<|#|>Other<|#|>A person responsible for a project who can provide attendance proof for employees on business trips.\nentity<|#|>Department Head<|#|>Other<|#|>The head of a department who approves leave applications and provides attendance proof for business trips.\nentity<|#|>Employees<|#|>Other<|#|>All staff members of the company, except the General Manager, who are subject to the attendance management system.\nentity<|#|>Labor Contract<|#|>Artifact<|#|>The employment contract between the company and employee, which can be terminated due to attendance violations like early leave or absenteeism.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Attendance<|#|>definition, regulation<|#|>The attendance management system defines and regulates the concept of attendance for employees.\nrelation<|#|>Sick Leave<|#|>Full Attendance Award<|#|>penalty, impact<|#|>Sick leave results in the cancellation of the monthly full attendance award as per the system.\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Lunch Break<|#|>specification, inclusion<|#|>The system specifies the inclusion of a one-hour lunch break in the standard working hours.\nrelation<|#|>Late Arrival<|#|>Key Observation Personnel List<|#|>disciplinary action, monitoring<|#|>Excessive late arrivals can lead to an employee being placed on the key observation personnel list.\nrelation<|#|>Late Arrival<|#|>Persuasion to Resign<|#|>severe penalty, termination<|#|>Repeated late arrivals without improvement may result in the company applying persuasion to resign.\nrelation<|#|>Absenteeism<|#|>Position Allowance and Welfare Subsidy<|#|>penalty, deduction<|#|>Absenteeism leads to deductions in position allowance and welfare subsidy according to the system.\nrelation<|#|>Department Head<|#|>Business Trip Application Form<|#|>approval, authority<|#|>The department head approves business trip application forms submitted via DingTalk.\nrelation<|#|>Project Leader<|#|>Business Trip<|#|>proof provision, responsibility<|#|>The project leader provides attendance proof for employees during business trips.\nrelation<|#|>Employees<|#|>Attendance Management System (2021 Version)<|#|>applicability, subjection<|#|>Employees are the subjects to whom the attendance management system applies, except for the General Manager.\nrelation<|#|>Early Leave<|#|>Labor Contract<|#|>termination risk, legal consequence<|#|>Excessive early leave can lead to the termination of the labor contract by the company.\nrelation<|#|>Absenteeism<|#|>Labor Contract<|#|>termination risk, legal consequence<|#|>Absenteeism can result in the termination of the labor contract as per company policy.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-e3d4168c37343f88c1ca610de5518302",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\n1 / 10\\n成都蓝色兄弟网络科技有限公司\\n考勤管理制度（2021年版本）\\n1.0目的\\n为了促进规范化、标准化建设工作，维护正常的办公秩序，提高工作效\\n率，规范员工考勤、请休假管理，参照国家有关法律法规，结合企业实际情\\n况，特制定本制度。\\n2.0适用范围和传达对象\\n2.1适用范围\\n本制度适用于除总经理以外的全体员工。\\n2.2传达对象\\n本制度必须传达至各部门及所有员工。\\n3.0术语\\n出勤：指员工于规定的工作时间，按时到岗位从事本职工作。按照《劳\\n动法》和《劳动合同法》及国家有关法律法规规定，结合公司实际情况而规\\n定的应出勤天数。\\n4.0管理程序与要求\\n4.1出勤管理\\n公司实行国家标准工作时\\n员工日标准工作时间为09：30—18:30（含1小时午休时间）。\\n4.1.1迟到\\n4.1.1.1时间计算\\n自公司规定上班时间起至员工实际到岗时间止，1 分钟（含）以上，2\\n小时以内的记为员工迟到时间，并给予处罚。\\n4.1.1.2处罚规定\\na、迟到/事假/病假，取消当月全勤奖；\\n2 / 10\\n迟到30分钟以内（9:31-10:00）每次扣款50元；\\n10:01-10:30迟到每次扣款100元；\\n10:31-11:30迟到每次扣款200元\\nb、当月迟到前 2 次按前述条款正常扣款，2 次之后每迟到 1 分钟，按\\n50元/分钟计算\\nc、当月迟到5 次，或当月事假+迟到=5 次，取消当年年终奖，并扣除当\\n月全部绩效工资。\\nd、当月迟到10 次，或当月事假+迟到次数=10次，如无特殊原因，属严\\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全\\n部绩效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\\n4.1.2早退\\n4.1.2.1时间计算\\n以员工提前下班的时间开始计算，至规定的下班时间为止，以上时间均\\n计为早退时间。\\n4.1.2.2处罚规定\\na、早退每次罚款50元；\\nb、超过30分钟者，罚款100元；\\nc、当月累计早退超过5次，公司可单方面解除劳动合同。\\n4.1.3旷工\\n4.1.3.1时间计算\\na、以公司规定的上班时间起，员工未到岗时间超过2 小时以上的计为旷\\n工时间；以公司规定的下班时间为准，员工提前离岗时间超过2小时以上的\\n计为旷工时间。\\nb、员工旷工时间在4小时以内(含4 小时)按旷工半天计算；旷工时间在\\n4小时至一个工作日以内的，按旷工1 天计算。\\n3 / 10\\n4.1.3.2处罚规定\\na、旷工期间不发放任何薪资；\\nb、旷工半天处罚1.5天工资的标准及岗位津贴、福利补助；\\nc、旷工一天处罚3 天工资的标准及岗位津贴、福利补助；\\nd、一月内连续旷工3天或累计旷工5 天的，公司将解除员工劳动合同；\\ne、全年累计旷工7 天的，公司将解除员工劳动合同；\\nf、员工旷工影响公司正常经营的，公司将根据实际工作需要调整其工作\\n岗位，如不接受公司岗位调整安排，公司可解除员工劳动合同；\\n4.1.3.3员工未经批准休假的，休假期间视为旷工；员工以不正当手段骗取、\\n涂改、伪造休假证明的，按旷工处理。\\n4.1.4出差\\n4.1.4.1时间计算\\n以员工接受出差任务离开公司时开始起算，至员工返回所在公司出勤时\\n为止，以上均计为出差时间。\\n4.1.4.2薪资待遇\\n员工出差按正常出勤处理，享受所在岗位的规定薪资待遇。\\n4.1.4.3相关规定\\na、员工出差期间的出勤证明由员工所在部门负责人或出差期间项目负责\\n人提供，经部门负责人钉钉签字确认；\\nb、出差须钉钉填写出差申请表\\n4.2日常假期管理\\n4.2.1事假\\n4.2.1.1事假的界定\\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\\n提出休假申请经批准的，休息期间为事假。\\n4 / 10\\n4.2.1.2事假的审批程序\\n员工有事必须亲自申请事假，并钉<E5B9B6>\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>Organization<|#|>A company that has established an attendance management system to regulate employee attendance, leave, and vacations.\\nentity<|#|>Attendance Management System (2021 Version)<|#|>Concept<|#|>A set of rules and procedures designed to standardize and manage employee attendance, leave, and vacation policies.\\nentity<|#|>General Manager<|#|>Other<|#|>The position exempted from the applicability of the attendance management system, as specified in its scope.\\nentity<|#|>Labor Law<|#|>Content<|#|>A national law referenced in the attendance management system for defining work hours and employee rights.\\nentity<|#|>Labor Contract Law<|#|>Content<|#|>A national law referenced alongside the Labor Law in the attendance management system.\\nentity<|#|>DingTalk<|#|>Artifact<|#|>A software application used for submitting and approving leave and business trip applications within the company.\\nentity<|#|>Business Trip Application Form<|#|>Artifact<|#|>A form that must be filled out via DingTalk to request approval for business trips.\\nentity<|#|>Late Arrival<|#|>Concept<|#|>Defined as arriving at work 1 minute to 2 hours after the scheduled time, subject to financial penalties and impact on bonuses.\\nentity<|#|>Early Leave<|#|>Concept<|#|>Defined as leaving work before the scheduled time, subject to fines and potential contract termination.\\nentity<|#|>Absenteeism<|#|>Concept<|#|>Defined as being absent for more than 2 hours without approval, leading to salary deductions and possible job termination.\\nentity<|#|>Personal Leave<|#|>Concept<|#|>Approved leave taken for personal reasons, affecting attendance records and eligibility for bonuses.\\nentity<|#|>Business Trip<|#|>Concept<|#|>Company-sanctioned travel for work, considered as normal attendance with standard pay and benefits.\\nentity<|#|>Full Attendance Award<|#|>Concept<|#|>A monthly bonus that is forfeited in cases of late arrival, personal leave, or sick leave.\\nentity<|#|>Year-end Bonus<|#|>Concept<|#|>An annual bonus that can be cancelled due to attendance violations such as excessive late arrivals or personal leaves.\\nentity<|#|>Performance Salary<|#|>Concept<|#|>Monthly performance-based pay that can be deducted for attendance issues like late arrivals.\\nentity<|#|>National Standard Working Hours<|#|>Concept<|#|>The standard work hours referenced in the system, with company-specific adjustments such as 09:30 to 18:30.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>implementation, regulation<|#|>The attendance management system is implemented by Chengdu Blue Brothers Network Technology Co., Ltd. to regulate employee behavior.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>General Manager<|#|>exemption, scope<|#|>The attendance management system explicitly excludes the General Manager from its applicability.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Labor Law<|#|>reference, legal basis<|#|>The system references the Labor Law to establish legal standards for work hours and employee rights.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Labor Contract Law<|#|>reference, legal compliance<|#|>The system references the Labor Contract Law alongside the Labor Law for comprehensive legal compliance.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Late Arrival<|#|>definition, penalty<|#|>The system defines the criteria and penalties for late arrival, including financial deductions and bonus impacts.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Early Leave<|#|>definition, penalty<|#|>The system defines early leave and specifies fines and termination risks associated with it.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Absenteeism<|#|>definition, severe penalty<|#|>The system defines absenteeism and outlines severe penalties such as salary deductions and contract termination.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Personal Leave<|#|>definition, management<|#|>The system defines personal leave and its approval process, linking it to attendance records.\\nrelation<|#|>Attendance Management System (2021 Version)<|#|>Business Trip<|#|>definition, management<|#|>The system defines business trip procedures, including application and attendance counting.\\nrelation<|#|>Late Arrival<|#|>Full Attendance Award<|#|>penalty, impact<|#|>Late arrival results in the cancellation of the monthly full attendance award as per the system rules.\\nrelation<|#|>Late Arrival<|#|>Year-end Bonus<|#|>penalty, impact<|#|>Excessive late arrivals can lead to the cancellation of the year-end bonus under the system's provisions.\\nrelation<|#|>Late Arrival<|#|>Performance Salary<|#|>penalty, impact<|#|>Late arrivals may result in the deduction of monthly performance salary according to the system.\\nrelation<|#|>Early Leave<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>penalty, enforcement<|#|>Early leave incurs fines and potential contract termination enforced by the company as per the system.\\nrelation<|#|>Absenteeism<|#|>Chengdu Blue Brothers Network Technology Co., Ltd.<|#|>penalty, termination<|#|>Absenteeism can lead to salary deductions and contract termination by the company based on system rules.\\nrelation<|#|>DingTalk<|#|>Business Trip Application Form<|#|>submission, approval<|#|>DingTalk is used to submit and process the business trip application form for approvals.\\nrelation<|#|>Business Trip<|#|>Business Trip Application Form<|#|>requirement, process<|#|>Business trips require the submission of a business trip application form via DingTalk as per the system.\\n<|COMPLETE|>\"}]",
    "queryparam": null,
    "create_time": 1767925726,
    "update_time": 1767925726,
    "_id": "default:extract:c2a5ec6508f9fef14dfa55417b772f93"
  },
  "default:extract:fae47ad8157e253fea16272647c5c64c": {
    "return": "entity<|#|>Personal Leave<|#|>Concept<|#|>Personal Leave is defined as leave taken by employees for personal matters when they cannot attend work, requiring approval, and during which no salary is paid.\nentity<|#|>Sick Leave<|#|>Concept<|#|>Sick Leave is leave taken by employees due to illness or to care for a direct family member, with specific procedures involving medical certificates and salary deductions.\nentity<|#|>Employee<|#|>Person<|#|>Employees are individuals who work for the company and must apply for leave such as Personal Leave and Sick Leave following company policies.\nentity<|#|>Company<|#|>Organization<|#|>The Company establishes and enforces policies regarding leave management, including Personal Leave and Sick Leave.\nentity<|#|>Human Resources Department<|#|>Organization<|#|>The Human Resources Department is involved in the approval and management of Personal Leave, being copied on approvals.\nentity<|#|>Administrative Department<|#|>Organization<|#|>The Administrative Department handles Sick Leave procedures, including verifying medical certificates.\nentity<|#|>General Manager<|#|>Person<|#|>The General Manager has approval authority for Personal Leave applications along with supervisors.\nentity<|#|>Supervisor<|#|>Person<|#|>Supervisors are responsible for approving leave applications, such as Personal Leave, from employees.\nentity<|#|>DingTalk<|#|>Artifact<|#|>DingTalk is a platform used by employees to fill out and submit Leave Application Forms for leave requests.\nentity<|#|>Leave Application Form<|#|>Artifact<|#|>The Leave Application Form is a document that employees must complete, typically on DingTalk, to apply for leave.\nentity<|#|>Salary<|#|>Concept<|#|>Salary is affected by leave; for Personal Leave, it is not paid, and for Sick Leave, there are deductions.\nentity<|#|>Attendance<|#|>Concept<|#|>Attendance is linked to subsidies and leave policies; violations can impact bonuses and performance salary.\nentity<|#|>Year-end Bonus<|#|>Concept<|#|>The Year-end Bonus can be cancelled if employees take excessive Personal Leave, as per company policy.\nentity<|#|>Performance Salary<|#|>Concept<|#|>Performance Salary may be deducted if leave conditions, such as frequency of Personal Leave, are not met.\nentity<|#|>Social Insurance<|#|>Concept<|#|>Social Insurance coverage is affected by long-term Personal Leave; employees may need to pay for it themselves or opt out.\nentity<|#|>Absenteeism<|#|>Concept<|#|>Absenteeism occurs when employees leave work without approval or fail to return after leave, leading to disciplinary actions like contract termination.\nentity<|#|>Medical Certificate<|#|>Artifact<|#|>Medical Certificate is required for Sick Leave to prove illness and determine the leave duration, verified by the Administrative Department.\nentity<|#|>Labor Contract<|#|>Artifact<|#|>The Labor Contract can be terminated if employees violate leave policies, such as through absenteeism or fraud.\nrelation<|#|>Employee<|#|>Personal Leave<|#|>application, procedure<|#|>Employees must apply for Personal Leave by submitting a Leave Application Form on DingTalk and obtaining approvals from Supervisor and General Manager.\nrelation<|#|>Supervisor<|#|>Personal Leave<|#|>approval, authority<|#|>Supervisors have the authority to approve Personal Leave applications from employees.\nrelation<|#|>General Manager<|#|>Personal Leave<|#|>approval, final authority<|#|>The General Manager must approve Personal Leave applications along with the Supervisor.\nrelation<|#|>Human Resources Department<|#|>Personal Leave<|#|>management, oversight<|#|>The Human Resources Department is copied on Personal Leave approvals and involved in its management.\nrelation<|#|>Personal Leave<|#|>Salary<|#|>compensation deduction, policy<|#|>During Personal Leave, no salary is paid, and specific deductions are applied based on the number of leave days.\nrelation<|#|>Personal Leave<|#|>Year-end Bonus<|#|>bonus cancellation, policy enforcement<|#|>Excessive Personal Leave, such as exceeding 20 days annually, can lead to the cancellation of the Year-end Bonus.\nrelation<|#|>Employee<|#|>Sick Leave<|#|>application, medical proof<|#|>Employees must apply for Sick Leave with a Medical Certificate and follow procedures involving the Administrative Department.\nrelation<|#|>Administrative Department<|#|>Sick Leave<|#|>verification, management<|#|>The Administrative Department verifies Medical Certificates and manages the Sick Leave approval process.\nrelation<|#|>Sick Leave<|#|>Salary<|#|>salary deduction, compensation<|#|>Sick Leave results in salary deductions, typically 50% per day, with adjustments for long-term leave.\nrelation<|#|>Absenteeism<|#|>Labor Contract<|#|>disciplinary action, termination<|#|>Absenteeism, due to not following leave procedures, can lead to the termination of the Labor Contract by the Company.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-76397af7081a6363ab8d6ddde5f97f40",
    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\n4.2日常假期管理\n4.2.1事假\n4.2.1.1事假的界定\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\n提出休假申请经批准的，休息期间为事假。\n4 / 10\n4.2.1.2事假的审批程序\n员工有事必须亲自申请事假，并钉钉填写请假条，经主管人员和领导审\n批后，即可。\n4.2.1.3事假的审批权限\n事假必须由直接主管和总经理审批，抄送人力资源部；\n4.2.1.4事假执行\n请事假期间，不发放任何薪资及与考勤挂钩的补贴，同时须扣事假期间\n工资\n应扣工资=月工资/当月应出勤天数×请假天数。\n4.2.1.5员工必须钉钉办完请假手续后再休假。如遇特殊情况，未能事先请假，\n要于事假当日告知部门负责人，并于返岗之日出具证明，经部门负责人查明\n属实后2个工作内办理补假手续。\n4.2.1.6相关规定\na、员工全年累计事假一般不得超过20天，超过20天取消当年的年终奖。\nb、员工当月的事假达15天以上的，取消当年的年终奖金。\nc、当月事假3 次，或当月事假+迟到=5次，取消当年年终奖，并扣除当\n月全部绩效工资。\ne、当月事假 5 次，或当月事假+迟到次数=10次，如无特殊原因，属严\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全部绩\n效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\nf、员工休事假期间遇意外伤害等事故，责任由员工个人负担。\ng、事假连续超过一个月的，由所在公司人力资源部（相关部门）与员工\n确认是否继续办理社保。若继续办理，则由员工垫付事假期间的社保费用全\n额（含公司需支付部分）；若自愿终止办理，则由所在公司人力资源部（相\n关部门）填写社保减少表，按停保手续办理。\n5 / 10\nh、员工病假、婚假、丧假、产假、带薪年休假等假期未按规定办理请假\n手续的，视为事假处理。\nj、未履行请假手续、没有经过批准而擅自离开工作岗位、假期后未归又\n无续假批准手续者，按旷工处理；\nk、如因当事人的擅自离岗而给公司造成直接或间接损失的，将对当事人\n预以经济处罚，情节严重的除承担相应的处罚外，公司将解除员工劳动合同\n关系。\n4.2.2病假\n4.2.2.1病假的界定\n员工因生病而产生的治疗假或直系亲属生病需特殊照顾（照顾直系亲属\n需提供直接证明：如病历及医院图片证明）。\n4.2.2.2病假的请假程序\na、员工因病或因直系亲属需要特殊照顾而无法正常工作，报部门主管及\n行政部后可请病假。员工连续请病假在需提供区县级以上医院的病假证明，\n交行政部审核，否则按事假扣除。离职通知期内请病假，均需提供就医证明。\nb、长期病假：超过3天的病假属于长期病假，长期病假前3 天的工资按\n照50%日工资扣除，超过3天的天数不计算工资。员工长期跨月休假或入院\n治疗期间，每月必须提供区县级以上医院的诊疗记录及病假证明。否则公司\n有权解除劳动合同。由此而解除劳动合同的，公司不予支付任何经济补偿。\nc、员工伪造医院证明骗取假期的，一经查实，将扣回已发薪资，已休病\n假按照旷工处理。通知上班而拒不上班者，公司有权解除劳动合同，由此而\n解除劳动合同的，公司不予支付任何经济补偿。\ne、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门\n负责人和分管领导审核后报公司行政人力资源部审核确定。\nc、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门负\n6 / 10\n责人和分管领导审核后报公司行政人力资源部审核确定。\n4.2.2.3薪资待遇\na、病假每日扣除工资的50%\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\n标准80%的，按最低工资标准的80%\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767925773,
    "update_time": 1767925773,
    "_id": "default:extract:fae47ad8157e253fea16272647c5c64c"
  },
  "default:extract:8613b6107a02c63ffdec204066da3abf": {
    "return": "entity<|#|>Minimum Wage Standard<|#|>Concept<|#|>The minimum wage standard is a regulatory benchmark used to determine the minimum salary payment during Sick Leave to ensure compliance with local laws.\nentity<|#|>Resignation Notice Period<|#|>Concept<|#|>The period during which an employee has submitted resignation notice, during which Sick Leave requires mandatory medical proof.\nentity<|#|>Long-term Sick Leave<|#|>Concept<|#|>Sick Leave that exceeds 3 days in duration, subject to specific salary deduction rules and stringent medical documentation requirements.\nentity<|#|>Forgery of Medical Certificate<|#|>Concept<|#|>The fraudulent act of creating or using fake medical certificates to obtain Sick Leave, which is penalized by the company.\nentity<|#|>Economic Penalty<|#|>Concept<|#|>Financial fines imposed on employees for policy violations, such as absenteeism that causes losses to the company.\nentity<|#|>Key Observation Personnel List<|#|>Artifact<|#|>A list maintained by the company identifying employees under close monitoring due to serious violations of leave policies.\nrelation<|#|>Sick Leave<|#|>Medical Certificate<|#|>requirement, validation<|#|>Sick Leave approval requires submission of a valid Medical Certificate to prove the illness or care need.\nrelation<|#|>Personal Leave<|#|>Attendance<|#|>impact, record-keeping<|#|>Taking Personal Leave directly affects the employee's attendance record, which influences subsidies and bonus eligibility.\nrelation<|#|>Sick Leave<|#|>Minimum Wage Standard<|#|>compliance, salary calculation<|#|>Sick Leave salary calculations must adhere to the minimum wage standard, ensuring payments do not fall below 80% of this benchmark.\nrelation<|#|>Employee<|#|>Year-end Bonus<|#|>eligibility, policy adherence<|#|>Employees' receipt of the Year-end Bonus is dependent on their compliance with leave policies, with excessive leave leading to cancellation.\nrelation<|#|>Company<|#|>Labor Contract<|#|>termination, disciplinary action<|#|>The Company can terminate the Labor Contract as a disciplinary measure for severe violations such as unauthorized absenteeism.\nrelation<|#|>Forgery of Medical Certificate<|#|>Sick Leave<|#|>fraud, misuse<|#|>Forgery of Medical Certificate is a fraudulent method to obtain Sick Leave, which is strictly prohibited and punished.\nrelation<|#|>Long-term Sick Leave<|#|>Sick Leave<|#|>classification, duration<|#|>Long-term Sick Leave is a specific category of Sick Leave defined by its duration exceeding 3 days, with distinct rules.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-76397af7081a6363ab8d6ddde5f97f40",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\n4.2日常假期管理\\n4.2.1事假\\n4.2.1.1事假的界定\\n事假就是指员工除公司规定的各种假期外因私事不能按时到岗出勤，而\\n提出休假申请经批准的，休息期间为事假。\\n4 / 10\\n4.2.1.2事假的审批程序\\n员工有事必须亲自申请事假，并钉钉填写请假条，经主管人员和领导审\\n批后，即可。\\n4.2.1.3事假的审批权限\\n事假必须由直接主管和总经理审批，抄送人力资源部；\\n4.2.1.4事假执行\\n请事假期间，不发放任何薪资及与考勤挂钩的补贴，同时须扣事假期间\\n工资\\n应扣工资=月工资/当月应出勤天数×请假天数。\\n4.2.1.5员工必须钉钉办完请假手续后再休假。如遇特殊情况，未能事先请假，\\n要于事假当日告知部门负责人，并于返岗之日出具证明，经部门负责人查明\\n属实后2个工作内办理补假手续。\\n4.2.1.6相关规定\\na、员工全年累计事假一般不得超过20天，超过20天取消当年的年终奖。\\nb、员工当月的事假达15天以上的，取消当年的年终奖金。\\nc、当月事假3 次，或当月事假+迟到=5次，取消当年年终奖，并扣除当\\n月全部绩效工资。\\ne、当月事假 5 次，或当月事假+迟到次数=10次，如无特殊原因，属严\\n重违纪行为，列入重点考察人员名单，取消当年年终奖，并扣除当月全部绩\\n效工资并做深刻反思检讨报告，拒不整改者，公司将给予劝退处理。\\nf、员工休事假期间遇意外伤害等事故，责任由员工个人负担。\\ng、事假连续超过一个月的，由所在公司人力资源部（相关部门）与员工\\n确认是否继续办理社保。若继续办理，则由员工垫付事假期间的社保费用全\\n额（含公司需支付部分）；若自愿终止办理，则由所在公司人力资源部（相\\n关部门）填写社保减少表，按停保手续办理。\\n5 / 10\\nh、员工病假、婚假、丧假、产假、带薪年休假等假期未按规定办理请假\\n手续的，视为事假处理。\\nj、未履行请假手续、没有经过批准而擅自离开工作岗位、假期后未归又\\n无续假批准手续者，按旷工处理；\\nk、如因当事人的擅自离岗而给公司造成直接或间接损失的，将对当事人\\n预以经济处罚，情节严重的除承担相应的处罚外，公司将解除员工劳动合同\\n关系。\\n4.2.2病假\\n4.2.2.1病假的界定\\n员工因生病而产生的治疗假或直系亲属生病需特殊照顾（照顾直系亲属\\n需提供直接证明：如病历及医院图片证明）。\\n4.2.2.2病假的请假程序\\na、员工因病或因直系亲属需要特殊照顾而无法正常工作，报部门主管及\\n行政部后可请病假。员工连续请病假在需提供区县级以上医院的病假证明，\\n交行政部审核，否则按事假扣除。离职通知期内请病假，均需提供就医证明。\\nb、长期病假：超过3天的病假属于长期病假，长期病假前3 天的工资按\\n照50%日工资扣除，超过3天的天数不计算工资。员工长期跨月休假或入院\\n治疗期间，每月必须提供区县级以上医院的诊疗记录及病假证明。否则公司\\n有权解除劳动合同。由此而解除劳动合同的，公司不予支付任何经济补偿。\\nc、员工伪造医院证明骗取假期的，一经查实，将扣回已发薪资，已休病\\n假按照旷工处理。通知上班而拒不上班者，公司有权解除劳动合同，由此而\\n解除劳动合同的，公司不予支付任何经济补偿。\\ne、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门\\n负责人和分管领导审核后报公司行政人力资源部审核确定。\\nc、病假天数以医院出具的病假证明书建议的病假天数为依据，经部门负\\n6 / 10\\n责人和分管领导审核后报公司行政人力资源部审核确定。\\n4.2.2.3薪资待遇\\na、病假每日扣除工资的50%\\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\\n标准80%的，按最低工资标准的80%\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>Personal Leave<|#|>Concept<|#|>Personal Leave is defined as leave taken by employees for personal matters when they cannot attend work, requiring approval, and during which no salary is paid.\\nentity<|#|>Sick Leave<|#|>Concept<|#|>Sick Leave is leave taken by employees due to illness or to care for a direct family member, with specific procedures involving medical certificates and salary deductions.\\nentity<|#|>Employee<|#|>Person<|#|>Employees are individuals who work for the company and must apply for leave such as Personal Leave and Sick Leave following company policies.\\nentity<|#|>Company<|#|>Organization<|#|>The Company establishes and enforces policies regarding leave management, including Personal Leave and Sick Leave.\\nentity<|#|>Human Resources Department<|#|>Organization<|#|>The Human Resources Department is involved in the approval and management of Personal Leave, being copied on approvals.\\nentity<|#|>Administrative Department<|#|>Organization<|#|>The Administrative Department handles Sick Leave procedures, including verifying medical certificates.\\nentity<|#|>General Manager<|#|>Person<|#|>The General Manager has approval authority for Personal Leave applications along with supervisors.\\nentity<|#|>Supervisor<|#|>Person<|#|>Supervisors are responsible for approving leave applications, such as Personal Leave, from employees.\\nentity<|#|>DingTalk<|#|>Artifact<|#|>DingTalk is a platform used by employees to fill out and submit Leave Application Forms for leave requests.\\nentity<|#|>Leave Application Form<|#|>Artifact<|#|>The Leave Application Form is a document that employees must complete, typically on DingTalk, to apply for leave.\\nentity<|#|>Salary<|#|>Concept<|#|>Salary is affected by leave; for Personal Leave, it is not paid, and for Sick Leave, there are deductions.\\nentity<|#|>Attendance<|#|>Concept<|#|>Attendance is linked to subsidies and leave policies; violations can impact bonuses and performance salary.\\nentity<|#|>Year-end Bonus<|#|>Concept<|#|>The Year-end Bonus can be cancelled if employees take excessive Personal Leave, as per company policy.\\nentity<|#|>Performance Salary<|#|>Concept<|#|>Performance Salary may be deducted if leave conditions, such as frequency of Personal Leave, are not met.\\nentity<|#|>Social Insurance<|#|>Concept<|#|>Social Insurance coverage is affected by long-term Personal Leave; employees may need to pay for it themselves or opt out.\\nentity<|#|>Absenteeism<|#|>Concept<|#|>Absenteeism occurs when employees leave work without approval or fail to return after leave, leading to disciplinary actions like contract termination.\\nentity<|#|>Medical Certificate<|#|>Artifact<|#|>Medical Certificate is required for Sick Leave to prove illness and determine the leave duration, verified by the Administrative Department.\\nentity<|#|>Labor Contract<|#|>Artifact<|#|>The Labor Contract can be terminated if employees violate leave policies, such as through absenteeism or fraud.\\nrelation<|#|>Employee<|#|>Personal Leave<|#|>application, procedure<|#|>Employees must apply for Personal Leave by submitting a Leave Application Form on DingTalk and obtaining approvals from Supervisor and General Manager.\\nrelation<|#|>Supervisor<|#|>Personal Leave<|#|>approval, authority<|#|>Supervisors have the authority to approve Personal Leave applications from employees.\\nrelation<|#|>General Manager<|#|>Personal Leave<|#|>approval, final authority<|#|>The General Manager must approve Personal Leave applications along with the Supervisor.\\nrelation<|#|>Human Resources Department<|#|>Personal Leave<|#|>management, oversight<|#|>The Human Resources Department is copied on Personal Leave approvals and involved in its management.\\nrelation<|#|>Personal Leave<|#|>Salary<|#|>compensation deduction, policy<|#|>During Personal Leave, no salary is paid, and specific deductions are applied based on the number of leave days.\\nrelation<|#|>Personal Leave<|#|>Year-end Bonus<|#|>bonus cancellation, policy enforcement<|#|>Excessive Personal Leave, such as exceeding 20 days annually, can lead to the cancellation of the Year-end Bonus.\\nrelation<|#|>Employee<|#|>Sick Leave<|#|>application, medical proof<|#|>Employees must apply for Sick Leave with a Medical Certificate and follow procedures involving the Administrative Department.\\nrelation<|#|>Administrative Department<|#|>Sick Leave<|#|>verification, management<|#|>The Administrative Department verifies Medical Certificates and manages the Sick Leave approval process.\\nrelation<|#|>Sick Leave<|#|>Salary<|#|>salary deduction, compensation<|#|>Sick Leave results in salary deductions, typically 50% per day, with adjustments for long-term leave.\\nrelation<|#|>Absenteeism<|#|>Labor Contract<|#|>disciplinary action, termination<|#|>Absenteeism, due to not following leave procedures, can lead to the termination of the Labor Contract by the Company.\\n<|COMPLETE|>\"}]",
    "queryparam": null,
    "create_time": 1767925815,
    "update_time": 1767925815,
    "_id": "default:extract:8613b6107a02c63ffdec204066da3abf"
  },
  "default:extract:24a868ee7f3a50dc55e6ba6c168b58a0": {
    "return": "entity<|#|>Company<|#|>Organization<|#|>The organization that sets and implements leave policies for employees, including sick leave, marriage leave, bereavement leave, maternity leave, and annual leave.\nentity<|#|>Company Administrative Human Resources Department<|#|>Organization<|#|>Department responsible for auditing and determining leave policies and procedures, as referenced in leave approval processes.\nentity<|#|>Employee<|#|>Concept<|#|>Formal employees of the company who are eligible for various types of leave based on tenure and specific conditions.\nentity<|#|>Sick Leave<|#|>Concept<|#|>Leave taken due to illness with specific salary deductions, conditions including potential cancellation of performance bonus, and references to minimum wage standards.\nentity<|#|>Marriage Leave<|#|>Concept<|#|>Leave granted for marriage, requiring a marriage certificate, approval from the company general manager, and specific application procedures.\nentity<|#|>Bereavement Leave<|#|>Concept<|#|>Leave for the death of immediate family members, with normal salary during the leave and defined application processes.\nentity<|#|>Maternity Leave<|#|>Concept<|#|>Leave for childbirth, including maternity and paternity leave, with only basic salary paid during the leave and eligibility based on tenure.\nentity<|#|>Annual Leave<|#|>Concept<|#|>Leave based on years of service, with different durations for employees with less than 10 years or between 10 and 20 years of service.\nentity<|#|>Labor Law<|#|>Content<|#|>Legal regulation referenced for employee rights and dismissals, especially in cases of non-work-related disabilities and medical leave.\nentity<|#|>Marriage Certificate<|#|>Artifact<|#|>Document issued by the Civil Affairs Bureau required for applying marriage leave and validating marriage status.\nentity<|#|>Civil Affairs Bureau<|#|>Organization<|#|>Government organization that issues marriage certificates, as referenced in marriage leave procedures.\nentity<|#|>Labor Appraisal Committee<|#|>Organization<|#|>Committee that assesses labor capabilities for employees with medical conditions, referenced in sick leave policies for disability evaluations.\nentity<|#|>Minimum Wage Standard<|#|>Concept<|#|>Regulatory standard used to determine minimum salary payments during sick leave, ensuring compliance with local regulations.\nentity<|#|>Company General Manager<|#|>Person<|#|>Approves marriage leave requests for employees, as specified in the marriage leave application process.\nentity<|#|>Department Head<|#|>Person<|#|>Involved in approving leave requests and managing department activities, referenced in leave application procedures.\nentity<|#|>Performance Bonus<|#|>Concept<|#|>Annual bonus that can be canceled if an employee takes sick leave for 20 days or more, as stated in sick leave policies.\nentity<|#|>Basic Salary<|#|>Concept<|#|>Salary component paid during certain leaves like maternity leave, as specified in leave execution rules.\nrelation<|#|>Company<|#|>Sick Leave<|#|>policy establishment, employee benefits<|#|>The company sets the sick leave policy with specific rules on salary deductions, conditions, and bonus impacts.\nrelation<|#|>Company<|#|>Marriage Leave<|#|>policy establishment, employee benefits<|#|>The company establishes the marriage leave policy requiring documentation and managerial approval.\nrelation<|#|>Company Administrative Human Resources Department<|#|>Company<|#|>department function, policy management<|#|>The department audits and determines leave policies for the company, as referenced in leave procedures.\nrelation<|#|>Employee<|#|>Sick Leave<|#|>employee rights, leave application<|#|>Employees are eligible for sick leave under the company's policy, with specific conditions and salary effects.\nrelation<|#|>Employee<|#|>Marriage Leave<|#|>employee rights, leave application<|#|>Employees can apply for marriage leave with proper documentation and approval from the company general manager.\nrelation<|#|>Marriage Leave<|#|>Marriage Certificate<|#|>document requirement, leave eligibility<|#|>Marriage leave requires a marriage certificate as proof of marriage for application and validation.\nrelation<|#|>Marriage Certificate<|#|>Civil Affairs Bureau<|#|>document issuance, government authority<|#|>The marriage certificate is issued by the Civil Affairs Bureau, which validates the marriage status.\nrelation<|#|>Marriage Leave<|#|>Company General Manager<|#|>approval process, managerial authority<|#|>Marriage leave must be approved by the company general manager as part of the application process.\nrelation<|#|>Sick Leave<|#|>Minimum Wage Standard<|#|>salary calculation, regulatory compliance<|#|>Sick leave salary is calculated based on the minimum wage standard to ensure minimum payment compliance.\nrelation<|#|>Sick Leave<|#|>Performance Bonus<|#|>bonus impact, leave consequences<|#|>Prolonged sick leave can lead to the cancellation of the performance bonus, as stated in the policy.\nrelation<|#|>Labor Law<|#|>Employee<|#|>legal framework, employee rights<|#|>Labor law governs employee rights and dismissals in cases like non-work-related disabilities and medical leave.\nrelation<|#|>Labor Appraisal Committee<|#|>Employee<|#|>assessment process, medical evaluation<|#|>The committee assesses employees' labor capabilities for medical leave cases, determining outcomes like dismissal or retirement.\nrelation<|#|>Maternity Leave<|#|>Basic Salary<|#|>salary payment, leave compensation<|#|>During maternity leave, only basic salary is paid to employees, as specified in the leave execution rules.\nrelation<|#|>Employee<|#|>Department Head<|#|>reporting structure, leave approval<|#|>Employees report to department heads for leave approval and coordination, as part of the application procedures.\nrelation<|#|>Company<|#|>Bereavement Leave<|#|>policy establishment, employee support<|#|>The company sets the bereavement leave policy for employees, with normal salary during the leave.\nrelation<|#|>Company<|#|>Annual Leave<|#|>policy establishment, service benefits<|#|>The company establishes annual leave based on years of service, with defined durations for different tenure periods.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-e8d6b2d404332fed2f61898dec4175b5",
    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\n管领导审核后报公司行政人力资源部审核确定。\n4.2.2.3薪资待遇\na、病假每日扣除工资的50%\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\n标准80%的，按最低工资标准的80%发放。\nc、员工月内病假达到20天及以上的，取消当年的年终绩效奖。\n4.2.2.4相关规定\na、公司员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，\n医疗期满，应当由劳动鉴定委员会参照工伤与职业病致残程度鉴定标准进行\n劳动能力的鉴定。被鉴定为一至四级的，退出劳动岗位，解除劳动关系。符\n合办理退休、退职条件的，办理退休、退职手续，享受退休、退职待遇。试\n用期员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，或医疗\n期超过1个月，依照《劳动法》及国家有关规定，解除劳动关系。\nb、医疗期满尚未痊愈者，依照《劳动法》及国家有关规定解除劳动关系。\n4.2.3婚假\n4.2.3.1婚假办理程序\n公司凡正式的员工，且工龄一年以上的，可以请婚假，婚假为三天。\n凡请婚假的员工，必须凭民政局出示的结婚证书，钉钉申请请假条，报\n公司总经理批准后方可执行。\n4.2.3.2婚假办理要求\na、各部门凡请婚假的员工，必须上报至公司行政人力资源部。\nb、请婚假的员工必须提前七天同部门主管和负责人共同商讨，必须以不\n影响部门正常经营管理活动为准。\nc、凡民政部门开具的结婚证明，从结婚证生效之日起一年内有效。\n7 / 10\nd、员工须凭结婚证原件提前10个工作日向部门负责人和人力资源部（相\n关部门）提出休假申请，并钉钉填写请假条，具体参照事假请假程序办理。\n如有特殊情况，在请假前不能提供结婚证明的，可以事先说明，待休假返回\n公司后一个星期内提供其结婚证明，休假期间方可按婚假处理，如仍不能提\n供结婚证明的，休假期间按事假处理。\ne、员工在公司受雇用期间，达到国家法定婚龄办理登记结婚的，可享受\n婚假，且只可享受一次婚假，并限结婚注册登记一年内有效；婚假应一次性\n连续休完，未经批准，不得分期休假；婚假期间公司要求员工上班的，所占\n用的休假时间，应安排员工在年度内另行补休。无法安排补休的，不予以补\n休。\n4.2.3.3婚假的执行\n员工请婚假期间的工资照发，不作扣除。\n4.2.4丧假\n4.2.4.1丧假的界定\n凡员工的直系亲属（含父母、配偶、子女）逝世者而请的假。\n4.2.4.2丧假的请假程序\n员工需要请丧假的，钉钉填写请假条后，按照请事假的程序执行请假手\n续与审批流程。\n4.2.4.3丧假的规定\n正式员工的直系亲属丧亡者可请假3 天。\n4.2.4.4丧假的执行\na、丧假期间，员工工资正常发放，不予以扣除。\nb、丧假期间，遇休公休假，交叉的时间不再另给付。\n4.2.5产假\n4.2.5.1产假的界定\n8 / 10\n经公司人力资源部门审查，工龄在一年以上持有生育指标的正式女职工\n可享受产假。\n4.2.5.2产假的请假程序\n员工需要请产假的，需在其预产期前至少3 个月通知公司并钉钉填写请\n假条后，按照请事假的程序执行请假手续与审批流程。\n4.2.5.3产假的规定\na、女员工顺产产假为98 天（包括公休日及法定假日）。\nb、女员工破腹产产假为128 天（包括公休日及法定假日）。\nc、陪产假。经公司人力资源部审查，其配偶持有生育指标的正式男职员\n可享受陪产假20天。\n4.2.5.4产假的执行\n员工请产假期间，只发放基本工资。\n4.2.6 年假\n4.2.6.1 年假的规定\na、公司正式员工入职满1年不满 10年，年休假5天；\nb、已满10年不满20年，年休假 10天。\nc、\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767925868,
    "update_time": 1767925868,
    "_id": "default:extract:24a868ee7f3a50dc55e6ba6c168b58a0"
  },
  "default:extract:d3653ce72a8e0fadf1c851a34711ca08": {
    "return": "entity<|#|>Paternity Leave<|#|>Concept<|#|>Leave for male employees whose spouse has a birth indicator, with a duration of 20 days, as part of company maternity leave policies.\nentity<|#|>Probationary Employee<|#|>Concept<|#|>Employees in the probation period, subject to dismissal under Labor Law for non-work-related disabilities or prolonged medical leave.\nentity<|#|>DingTalk<|#|>Artifact<|#|>A platform or tool used for submitting leave applications, such as for marriage, bereavement, and maternity leave.\nentity<|#|>Public Holidays<|#|>Concept<|#|>Official holidays that may coincide with other leaves, affecting salary calculations during bereavement leave.\nentity<|#|>Birth Indicator<|#|>Artifact<|#|>A document or quota indicating permission for childbirth, required for eligibility for maternity and paternity leave.\nentity<|#|>Retirement<|#|>Concept<|#|>The process of exiting employment due to disability or age, with enjoyment of retirement benefits.\nentity<|#|>Resignation<|#|>Concept<|#|>The process of leaving employment, specifically mentioned in the context of medical conditions and labor regulations.\nrelation<|#|>Company<|#|>Paternity Leave<|#|>policy establishment, employee benefits<|#|>The company sets the paternity leave policy for male employees with a birth indicator.\nrelation<|#|>Employee<|#|>Paternity Leave<|#|>eligibility, leave application<|#|>Formal male employees are eligible for paternity leave if their spouse has a birth indicator.\nrelation<|#|>Probationary Employee<|#|>Labor Law<|#|>legal framework, dismissal rules<|#|>Probationary employees can be dismissed according to Labor Law for medical conditions.\nrelation<|#|>DingTalk<|#|>Marriage Leave<|#|>application tool, process facilitation<|#|>DingTalk is used to apply for marriage leave by filling out请假条.\nrelation<|#|>DingTalk<|#|>Bereavement Leave<|#|>application tool, process facilitation<|#|>DingTalk is used to apply for bereavement leave through the请假条.\nrelation<|#|>DingTalk<|#|>Maternity Leave<|#|>application tool, process facilitation<|#|>DingTalk is used to apply for maternity leave by submitting请假条.\nrelation<|#|>Public Holidays<|#|>Bereavement Leave<|#|>time overlap, compensation effect<|#|>Public holidays that overlap with bereavement leave do not result in additional compensation.\nrelation<|#|>Birth Indicator<|#|>Maternity Leave<|#|>eligibility requirement, document verification<|#|>A birth indicator is required for female employees to be eligible for maternity leave.\nrelation<|#|>Birth Indicator<|#|>Paternity Leave<|#|>eligibility requirement, document verification<|#|>A birth indicator is required for the spouse of male employees to be eligible for paternity leave.\nrelation<|#|>Labor Appraisal Committee<|#|>Retirement<|#|>assessment outcome, employment termination<|#|>The Labor Appraisal Committee's assessment can lead to retirement for employees with disabilities.\nrelation<|#|>Labor Appraisal Committee<|#|>Resignation<|#|>assessment outcome, employment termination<|#|>The Labor Appraisal Committee's assessment can lead to resignation for employees with medical conditions.\nrelation<|#|>Probationary Employee<|#|>Sick Leave<|#|>dismissal conditions, policy implication<|#|>Probationary employees can be dismissed under sick leave policies for medical conditions exceeding one month.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-e8d6b2d404332fed2f61898dec4175b5",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\n管领导审核后报公司行政人力资源部审核确定。\\n4.2.2.3薪资待遇\\na、病假每日扣除工资的50%\\nb、病假 1个月以内，根据员工病假天数按员工月基本收入标准的80％\\n计发，扣发病假期间与考勤挂钩的补贴。但如发放薪资低于所在地最低工资\\n标准80%的，按最低工资标准的80%发放。\\nc、员工月内病假达到20天及以上的，取消当年的年终绩效奖。\\n4.2.2.4相关规定\\na、公司员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，\\n医疗期满，应当由劳动鉴定委员会参照工伤与职业病致残程度鉴定标准进行\\n劳动能力的鉴定。被鉴定为一至四级的，退出劳动岗位，解除劳动关系。符\\n合办理退休、退职条件的，办理退休、退职手续，享受退休、退职待遇。试\\n用期员工非因工致残和经医生或医疗机构认定患有难以治疗的疾病，或医疗\\n期超过1个月，依照《劳动法》及国家有关规定，解除劳动关系。\\nb、医疗期满尚未痊愈者，依照《劳动法》及国家有关规定解除劳动关系。\\n4.2.3婚假\\n4.2.3.1婚假办理程序\\n公司凡正式的员工，且工龄一年以上的，可以请婚假，婚假为三天。\\n凡请婚假的员工，必须凭民政局出示的结婚证书，钉钉申请请假条，报\\n公司总经理批准后方可执行。\\n4.2.3.2婚假办理要求\\na、各部门凡请婚假的员工，必须上报至公司行政人力资源部。\\nb、请婚假的员工必须提前七天同部门主管和负责人共同商讨，必须以不\\n影响部门正常经营管理活动为准。\\nc、凡民政部门开具的结婚证明，从结婚证生效之日起一年内有效。\\n7 / 10\\nd、员工须凭结婚证原件提前10个工作日向部门负责人和人力资源部（相\\n关部门）提出休假申请，并钉钉填写请假条，具体参照事假请假程序办理。\\n如有特殊情况，在请假前不能提供结婚证明的，可以事先说明，待休假返回\\n公司后一个星期内提供其结婚证明，休假期间方可按婚假处理，如仍不能提\\n供结婚证明的，休假期间按事假处理。\\ne、员工在公司受雇用期间，达到国家法定婚龄办理登记结婚的，可享受\\n婚假，且只可享受一次婚假，并限结婚注册登记一年内有效；婚假应一次性\\n连续休完，未经批准，不得分期休假；婚假期间公司要求员工上班的，所占\\n用的休假时间，应安排员工在年度内另行补休。无法安排补休的，不予以补\\n休。\\n4.2.3.3婚假的执行\\n员工请婚假期间的工资照发，不作扣除。\\n4.2.4丧假\\n4.2.4.1丧假的界定\\n凡员工的直系亲属（含父母、配偶、子女）逝世者而请的假。\\n4.2.4.2丧假的请假程序\\n员工需要请丧假的，钉钉填写请假条后，按照请事假的程序执行请假手\\n续与审批流程。\\n4.2.4.3丧假的规定\\n正式员工的直系亲属丧亡者可请假3 天。\\n4.2.4.4丧假的执行\\na、丧假期间，员工工资正常发放，不予以扣除。\\nb、丧假期间，遇休公休假，交叉的时间不再另给付。\\n4.2.5产假\\n4.2.5.1产假的界定\\n8 / 10\\n经公司人力资源部门审查，工龄在一年以上持有生育指标的正式女职工\\n可享受产假。\\n4.2.5.2产假的请假程序\\n员工需要请产假的，需在其预产期前至少3 个月通知公司并钉钉填写请\\n假条后，按照请事假的程序执行请假手续与审批流程。\\n4.2.5.3产假的规定\\na、女员工顺产产假为98 天（包括公休日及法定假日）。\\nb、女员工破腹产产假为128 天（包括公休日及法定假日）。\\nc、陪产假。经公司人力资源部审查，其配偶持有生育指标的正式男职员\\n可享受陪产假20天。\\n4.2.5.4产假的执行\\n员工请产假期间，只发放基本工资。\\n4.2.6 年假\\n4.2.6.1 年假的规定\\na、公司正式员工入职满1年不满 10年，年休假5天；\\nb、已满10年不满20年，年休假 10天。\\nc、\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>Company<|#|>Organization<|#|>The organization that sets and implements leave policies for employees, including sick leave, marriage leave, bereavement leave, maternity leave, and annual leave.\\nentity<|#|>Company Administrative Human Resources Department<|#|>Organization<|#|>Department responsible for auditing and determining leave policies and procedures, as referenced in leave approval processes.\\nentity<|#|>Employee<|#|>Concept<|#|>Formal employees of the company who are eligible for various types of leave based on tenure and specific conditions.\\nentity<|#|>Sick Leave<|#|>Concept<|#|>Leave taken due to illness with specific salary deductions, conditions including potential cancellation of performance bonus, and references to minimum wage standards.\\nentity<|#|>Marriage Leave<|#|>Concept<|#|>Leave granted for marriage, requiring a marriage certificate, approval from the company general manager, and specific application procedures.\\nentity<|#|>Bereavement Leave<|#|>Concept<|#|>Leave for the death of immediate family members, with normal salary during the leave and defined application processes.\\nentity<|#|>Maternity Leave<|#|>Concept<|#|>Leave for childbirth, including maternity and paternity leave, with only basic salary paid during the leave and eligibility based on tenure.\\nentity<|#|>Annual Leave<|#|>Concept<|#|>Leave based on years of service, with different durations for employees with less than 10 years or between 10 and 20 years of service.\\nentity<|#|>Labor Law<|#|>Content<|#|>Legal regulation referenced for employee rights and dismissals, especially in cases of non-work-related disabilities and medical leave.\\nentity<|#|>Marriage Certificate<|#|>Artifact<|#|>Document issued by the Civil Affairs Bureau required for applying marriage leave and validating marriage status.\\nentity<|#|>Civil Affairs Bureau<|#|>Organization<|#|>Government organization that issues marriage certificates, as referenced in marriage leave procedures.\\nentity<|#|>Labor Appraisal Committee<|#|>Organization<|#|>Committee that assesses labor capabilities for employees with medical conditions, referenced in sick leave policies for disability evaluations.\\nentity<|#|>Minimum Wage Standard<|#|>Concept<|#|>Regulatory standard used to determine minimum salary payments during sick leave, ensuring compliance with local regulations.\\nentity<|#|>Company General Manager<|#|>Person<|#|>Approves marriage leave requests for employees, as specified in the marriage leave application process.\\nentity<|#|>Department Head<|#|>Person<|#|>Involved in approving leave requests and managing department activities, referenced in leave application procedures.\\nentity<|#|>Performance Bonus<|#|>Concept<|#|>Annual bonus that can be canceled if an employee takes sick leave for 20 days or more, as stated in sick leave policies.\\nentity<|#|>Basic Salary<|#|>Concept<|#|>Salary component paid during certain leaves like maternity leave, as specified in leave execution rules.\\nrelation<|#|>Company<|#|>Sick Leave<|#|>policy establishment, employee benefits<|#|>The company sets the sick leave policy with specific rules on salary deductions, conditions, and bonus impacts.\\nrelation<|#|>Company<|#|>Marriage Leave<|#|>policy establishment, employee benefits<|#|>The company establishes the marriage leave policy requiring documentation and managerial approval.\\nrelation<|#|>Company Administrative Human Resources Department<|#|>Company<|#|>department function, policy management<|#|>The department audits and determines leave policies for the company, as referenced in leave procedures.\\nrelation<|#|>Employee<|#|>Sick Leave<|#|>employee rights, leave application<|#|>Employees are eligible for sick leave under the company's policy, with specific conditions and salary effects.\\nrelation<|#|>Employee<|#|>Marriage Leave<|#|>employee rights, leave application<|#|>Employees can apply for marriage leave with proper documentation and approval from the company general manager.\\nrelation<|#|>Marriage Leave<|#|>Marriage Certificate<|#|>document requirement, leave eligibility<|#|>Marriage leave requires a marriage certificate as proof of marriage for application and validation.\\nrelation<|#|>Marriage Certificate<|#|>Civil Affairs Bureau<|#|>document issuance, government authority<|#|>The marriage certificate is issued by the Civil Affairs Bureau, which validates the marriage status.\\nrelation<|#|>Marriage Leave<|#|>Company General Manager<|#|>approval process, managerial authority<|#|>Marriage leave must be approved by the company general manager as part of the application process.\\nrelation<|#|>Sick Leave<|#|>Minimum Wage Standard<|#|>salary calculation, regulatory compliance<|#|>Sick leave salary is calculated based on the minimum wage standard to ensure minimum payment compliance.\\nrelation<|#|>Sick Leave<|#|>Performance Bonus<|#|>bonus impact, leave consequences<|#|>Prolonged sick leave can lead to the cancellation of the performance bonus, as stated in the policy.\\nrelation<|#|>Labor Law<|#|>Employee<|#|>legal framework, employee rights<|#|>Labor law governs employee rights and dismissals in cases like non-work-related disabilities and medical leave.\\nrelation<|#|>Labor Appraisal Committee<|#|>Employee<|#|>assessment process, medical evaluation<|#|>The committee assesses employees' labor capabilities for medical leave cases, determining outcomes like dismissal or retirement.\\nrelation<|#|>Maternity Leave<|#|>Basic Salary<|#|>salary payment, leave compensation<|#|>During maternity leave, only basic salary is paid to employees, as specified in the leave execution rules.\\nrelation<|#|>Employee<|#|>Department Head<|#|>reporting structure, leave approval<|#|>Employees report to department heads for leave approval and coordination, as part of the application procedures.\\nrelation<|#|>Company<|#|>Bereavement Leave<|#|>policy establishment, employee support<|#|>The company sets the bereavement leave policy for employees, with normal salary during the leave.\\nrelation<|#|>Company<|#|>Annual Leave<|#|>policy establishment, service benefits<|#|>The company establishes annual leave based on years of service, with defined durations for different tenure periods.\\n<|COMPLETE|>\"}]",
    "queryparam": null,
    "create_time": 1767925935,
    "update_time": 1767925935,
    "_id": "default:extract:d3653ce72a8e0fadf1c851a34711ca08"
  },
  "default:extract:bfc7ddbdeb87e87e480ff4c7e2600e76": {
    "return": "entity<|#|>The Company<|#|>Organization<|#|>The organization that implements policies regarding leaves, attendance, and rewards as described in the document.\nentity<|#|>Paternity Leave<|#|>Concept<|#|>A leave policy allowing regular male employees to take 20 days off for childbirth-related reasons.\nentity<|#|>Maternity Leave<|#|>Concept<|#|>A leave policy for employees during which only basic salary is paid.\nentity<|#|>Annual Leave<|#|>Concept<|#|>A leave entitlement based on years of service, with specific rules on usage and calculation.\nentity<|#|>Attendance Management<|#|>Concept<|#|>The system and rules governing employee attendance, including work hours and clocking in/out.\nentity<|#|>DingTalk Attendance System<|#|>Method<|#|>An attendance system using DingTalk for clocking in and out, mandatory for all employees.\nentity<|#|>Administrative Human Resources Department<|#|>Organization<|#|>The department responsible for formulating, modifying, and explaining the attendance management system, and overseeing attendance data.\nentity<|#|>General Manager<|#|>Person<|#|>The role that approves special cases, such as exemptions from clocking in/out for certain employees or departments.\nentity<|#|>Basic Salary<|#|>Concept<|#|>The salary component paid during maternity leave, excluding other allowances.\nentity<|#|>National Statutory Holidays<|#|>Concept<|#|>Public holidays that are not counted towards annual leave days.\nentity<|#|>Rest Days<|#|>Concept<|#|>Regular days off that are not included in annual leave calculations.\nentity<|#|>Full Attendance Reward<|#|>Concept<|#|>Monetary rewards given to employees for perfect attendance on a monthly or annual basis.\nentity<|#|>Conversion Method for Annual Leave<|#|>Method<|#|>A calculation method for determining annual leave days for new employees based on remaining calendar days.\nentity<|#|>Attendance Management System<|#|>Content<|#|>The formal policy document that outlines rules for attendance and leaves, as explained and enforced by the human resources department.\nrelation<|#|>The Company<|#|>Paternity Leave<|#|>policy implementation, employee benefits<|#|>The Company provides paternity leave of 20 days for regular male employees.\nrelation<|#|>The Company<|#|>Maternity Leave<|#|>policy implementation, salary payment<|#|>During maternity leave, the Company pays only basic salary.\nrelation<|#|>The Company<|#|>Annual Leave<|#|>policy implementation, leave entitlement<|#|>The Company grants annual leave based on years of service with specific rules.\nrelation<|#|>The Company<|#|>Attendance Management<|#|>system establishment, work regulation<|#|>The Company establishes attendance management rules including work hours and clocking systems.\nrelation<|#|>The Company<|#|>Full Attendance Reward<|#|>incentive program, reward system<|#|>The Company offers monetary rewards for employees with full attendance.\nrelation<|#|>Administrative Human Resources Department<|#|>Attendance Management System<|#|>policy formulation, management oversight<|#|>The Administrative Human Resources Department is responsible for creating and explaining the attendance management system.\nrelation<|#|>DingTalk Attendance System<|#|>Attendance Management<|#|>tool usage, attendance tracking<|#|>The DingTalk attendance system is implemented as part of the attendance management to track employee clock-ins.\nrelation<|#|>General Manager<|#|>Attendance Management<|#|>approval authority, exception handling<|#|>The General Manager has the authority to approve special cases such as exemptions from clocking in.\nrelation<|#|>Annual Leave<|#|>Conversion Method for Annual Leave<|#|>calculation rule, leave allocation<|#|>The conversion method is used to calculate annual leave days for new employees.\nrelation<|#|>Annual Leave<|#|>National Statutory Holidays<|#|>exclusion rule, leave calculation<|#|>National statutory holidays are not counted in annual leave days.\nrelation<|#|>Annual Leave<|#|>Rest Days<|#|>exclusion rule, leave calculation<|#|>Rest days are not included in annual leave calculations.\nrelation<|#|>Maternity Leave<|#|>Basic Salary<|#|>salary component, leave compensation<|#|>During maternity leave, only basic salary is paid to the employee.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-1cb0156ca51110fdbe31cd3d355775ea",
    "original_prompt": "---Task---\nExtract entities and relationships from the input text in Data to be Processed below.\n\n---Instructions---\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n---Data to be Processed---\n<Entity_types>\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\n\n<Input Text>\n```\n育指标的正式男职员\n可享受陪产假20天。\n4.2.5.4产假的执行\n员工请产假期间，只发放基本工资。\n4.2.6 年假\n4.2.6.1 年假的规定\na、公司正式员工入职满1年不满 10年，年休假5天；\nb、已满10年不满20年，年休假 10天。\nc、已满20年的，年休假15天。\n国家法定休假日、休息日不计入年休假的假期。\n4.2.6.2 年假的执行\na、年休假在一个自然年度内，可以集中安排，也可以分段安排；年休假\n应在当年休完，不跨年度安排。\nc、员工年休假不得与“十一”等节假日、休息日连休。\nd、凡一年中已享受婚假、产假、丧假、事假、病假累计超过二十天的员\n工，均不再享有年休假。\n4.2.6.3年休假的计算\n9 / 10\n职工新进用人单位且入职满1 年，当年度年休假天数，按照在本单位剩\n余日历天数折算确定，折算后不足1整天的部分不享受年休假。\n前款规定的折算方法为：（当年度在本单位剩余日历天数÷365 天）×职\n工本人全年应当享受的年休假天数。\n4.3 考勤管理\n4.3.1公司作息时间原则上规定为 09：30—18：30。\n4.3.2 公司实行钉钉考勤制度，所有员工（含见习试用期员工）每天上班必\n须钉钉打卡。\n4.3.3特殊工作性质的部门或员工经公司总经理特批核准者，可不打卡。\n4.3.4凡是当月忘记打卡，次月 1 日未申请补卡，罚款 50 元/次，超过3 次，\n罚款100元/次。\n4.3.5考勤周期\n各部门应按月规定考勤周期，其起止时间为自然月，由公司行政人力资\n源部负责管理。\n4.3.6员工外出\n员工外出，均需钉钉填写外出申请表，报总经理审批后，行政人力资源\n部备案方可外出。\n4.3.7 公司安排会议时员工迟到、早退或请假的，按上述迟到、早退、事假\n条款执行。\n4.3.8 除病假/丧假以外，其余所有请假均需钉钉流程全部审核通过方可请\n假，否则一律按旷工处理。\n4.4 全勤奖励\n4.4.1月全勤奖励。对于当月全勤的员工，公司给予 100 元/人的奖励。\n4.4.2 年度全勤奖励。对于全年全勤的员工，公司在年底一次性给予 2000\n10 / 10\n元/人的奖励。\n5.0管理职责\n5.1 行政人力资源部\na、根据公司的实际情况制定、修改并解释《考勤管理制度》；\nb、负责公司考勤数据、资料的收集、整理；\nc、负责对公司员工日常考勤管理的监督、核查、管理。\n6.0\n本制度自下发之日起开始执行\n本制度最终解释权归人力资源部\n```\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>",
    "queryparam": null,
    "create_time": 1767925984,
    "update_time": 1767925984,
    "_id": "default:extract:bfc7ddbdeb87e87e480ff4c7e2600e76"
  },
  "default:extract:a7d3b38963cbbddf3942ddf2e8151f64": {
    "return": "entity<|#|>Regular Male Employees<|#|>Person<|#|>Regular male employees who are eligible for paternity leave of 20 days.\nentity<|#|>Company Regular Employees<|#|>Person<|#|>Employees who have completed at least one year of service and are eligible for annual leave based on tenure.\nentity<|#|>Probationary Employees<|#|>Person<|#|>Employees in the probation or internship period who are required to clock in using the DingTalk attendance system.\nentity<|#|>Absenteeism<|#|>Concept<|#|>The act of being absent without approved leave, which is treated as a violation under the attendance management system.\nentity<|#|>Fines for Forgetting to Clock In<|#|>Concept<|#|>Monetary penalties imposed on employees who forget to clock in and fail to apply for a make-up by the specified deadline.\nentity<|#|>Outgoing Application Form<|#|>Artifact<|#|>A digital form in DingTalk that employees must complete and get approved by the general manager when going out during work hours.\nentity<|#|>Marriage Leave<|#|>Concept<|#|>A type of leave granted for marriage, which affects annual leave eligibility if taken excessively.\nentity<|#|>Bereavement Leave<|#|>Concept<|#|>A type of leave granted for bereavement, which does not require DingTalk approval and affects annual leave eligibility if taken excessively.\nentity<|#|>Personal Leave<|#|>Concept<|#|>A type of leave for personal reasons, which requires DingTalk approval and affects annual leave eligibility if taken excessively.\nentity<|#|>Sick Leave<|#|>Concept<|#|>A type of leave for illness, which does not require DingTalk approval and affects annual leave eligibility if taken excessively.\nentity<|#|>DingTalk Approval Process<|#|>Method<|#|>The workflow in DingTalk that must be fully approved for most types of leave applications.\nrelation<|#|>Regular Male Employees<|#|>Paternity Leave<|#|>eligibility, employee benefits<|#|>Regular male employees are eligible to take paternity leave for 20 days.\nrelation<|#|>Company Regular Employees<|#|>Annual Leave<|#|>eligibility, tenure-based benefits<|#|>Company regular employees are entitled to annual leave based on their years of service.\nrelation<|#|>Probationary Employees<|#|>DingTalk Attendance System<|#|>requirement, attendance tracking<|#|>Probationary employees are required to use the DingTalk attendance system for clocking in and out.\nrelation<|#|>Absenteeism<|#|>Attendance Management<|#|>violation, penalty<|#|>Absenteeism is treated as a violation under the attendance management system, leading to penalties.\nrelation<|#|>Fines for Forgetting to Clock In<|#|>Attendance Management<|#|>enforcement, monetary penalty<|#|>Fines for forgetting to clock in are part of the attendance management rules to enforce compliance.\nrelation<|#|>Outgoing Application Form<|#|>Attendance Management<|#|>procedure, approval requirement<|#|>The outgoing application form is a required procedure in the attendance management system for employees going out.\nrelation<|#|>Marriage Leave<|#|>Annual Leave<|#|>eligibility impact, leave policy<|#|>Taking marriage leave can affect an employee's eligibility for annual leave if accumulated with other leaves over twenty days.\nrelation<|#|>Bereavement Leave<|#|>Annual Leave<|#|>eligibility impact, leave policy<|#|>Taking bereavement leave can affect annual leave eligibility if accumulated with other leaves over twenty days.\nrelation<|#|>Personal Leave<|#|>Annual Leave<|#|>eligibility impact, leave policy<|#|>Taking personal leave can affect annual leave eligibility if accumulated with other leaves over twenty days.\nrelation<|#|>Sick Leave<|#|>Annual Leave<|#|>eligibility impact, leave policy<|#|>Taking sick leave can affect annual leave eligibility if accumulated with other leaves over twenty days.\nrelation<|#|>DingTalk Approval Process<|#|>Marriage Leave<|#|>approval requirement, workflow<|#|>Marriage leave applications must be approved through the DingTalk approval process.\nrelation<|#|>DingTalk Approval Process<|#|>Personal Leave<|#|>approval requirement, workflow<|#|>Personal leave applications must be approved through the DingTalk approval process.\nrelation<|#|>DingTalk Approval Process<|#|>Maternity Leave<|#|>approval requirement, workflow<|#|>Maternity leave applications must be approved through the DingTalk approval process.\nrelation<|#|>DingTalk Approval Process<|#|>Paternity Leave<|#|>approval requirement, workflow<|#|>Paternity leave applications must be approved through the DingTalk approval process.\n<|COMPLETE|>",
    "cache_type": "extract",
    "chunk_id": "chunk-1cb0156ca51110fdbe31cd3d355775ea",
    "original_prompt": "---Task---\nBased on the last extraction task, identify and extract any **missed or incorrectly formatted** entities and relationships from the input text.\n\n---Instructions---\n1.  **Strict Adherence to System Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system instructions.\n2.  **Focus on Corrections/Additions:**\n    *   **Do NOT** re-output entities and relationships that were **correctly and fully** extracted in the last task.\n    *   If an entity or relationship was **missed** in the last task, extract and output it now according to the system format.\n    *   If an entity or relationship was **truncated, had missing fields, or was otherwise incorrectly formatted** in the last task, re-output the *corrected and complete* version in the specified format.\n3.  **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n4.  **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n5.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\n6.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant missing or corrected entities and relationships have been extracted and presented.\n7.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\n\n<Output>\n---Role---\nYou are a Knowledge Graph Specialist responsible for extracting entities and relationships from the input text.\n\n---Instructions---\n1.  **Entity Extraction & Output:**\n    *   **Identification:** Identify clearly defined and meaningful entities in the input text.\n    *   **Entity Details:** For each identified entity, extract the following information:\n        *   `entity_name`: The name of the entity. If the entity name is case-insensitive, capitalize the first letter of each significant word (title case). Ensure **consistent naming** across the entire extraction process.\n        *   `entity_type`: Categorize the entity using one of the following types: `Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject`. If none of the provided entity types apply, do not add new entity type and classify it as `Other`.\n        *   `entity_description`: Provide a concise yet comprehensive description of the entity's attributes and activities, based *solely* on the information present in the input text.\n    *   **Output Format - Entities:** Output a total of 4 fields for each entity, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `entity`.\n        *   Format: `entity<|#|>entity_name<|#|>entity_type<|#|>entity_description`\n\n2.  **Relationship Extraction & Output:**\n    *   **Identification:** Identify direct, clearly stated, and meaningful relationships between previously extracted entities.\n    *   **N-ary Relationship Decomposition:** If a single statement describes a relationship involving more than two entities (an N-ary relationship), decompose it into multiple binary (two-entity) relationship pairs for separate description.\n        *   **Example:** For \"Alice, Bob, and Carol collaborated on Project X,\" extract binary relationships such as \"Alice collaborated with Project X,\" \"Bob collaborated with Project X,\" and \"Carol collaborated with Project X,\" or \"Alice collaborated with Bob,\" based on the most reasonable binary interpretations.\n    *   **Relationship Details:** For each binary relationship, extract the following fields:\n        *   `source_entity`: The name of the source entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `target_entity`: The name of the target entity. Ensure **consistent naming** with entity extraction. Capitalize the first letter of each significant word (title case) if the name is case-insensitive.\n        *   `relationship_keywords`: One or more high-level keywords summarizing the overarching nature, concepts, or themes of the relationship. Multiple keywords within this field must be separated by a comma `,`. **DO NOT use `<|#|>` for separating multiple keywords within this field.**\n        *   `relationship_description`: A concise explanation of the nature of the relationship between the source and target entities, providing a clear rationale for their connection.\n    *   **Output Format - Relationships:** Output a total of 5 fields for each relationship, delimited by `<|#|>`, on a single line. The first field *must* be the literal string `relation`.\n        *   Format: `relation<|#|>source_entity<|#|>target_entity<|#|>relationship_keywords<|#|>relationship_description`\n\n3.  **Delimiter Usage Protocol:**\n    *   The `<|#|>` is a complete, atomic marker and **must not be filled with content**. It serves strictly as a field separator.\n    *   **Incorrect Example:** `entity<|#|>Tokyo<|location|>Tokyo is the capital of Japan.`\n    *   **Correct Example:** `entity<|#|>Tokyo<|#|>location<|#|>Tokyo is the capital of Japan.`\n\n4.  **Relationship Direction & Duplication:**\n    *   Treat all relationships as **undirected** unless explicitly stated otherwise. Swapping the source and target entities for an undirected relationship does not constitute a new relationship.\n    *   Avoid outputting duplicate relationships.\n\n5.  **Output Order & Prioritization:**\n    *   Output all extracted entities first, followed by all extracted relationships.\n    *   Within the list of relationships, prioritize and output those relationships that are **most significant** to the core meaning of the input text first.\n\n6.  **Context & Objectivity:**\n    *   Ensure all entity names and descriptions are written in the **third person**.\n    *   Explicitly name the subject or object; **avoid using pronouns** such as `this article`, `this paper`, `our company`, `I`, `you`, and `he/she`.\n\n7.  **Language & Proper Nouns:**\n    *   The entire output (entity names, keywords, and descriptions) must be written in `English`.\n    *   Proper nouns (e.g., personal names, place names, organization names) should be retained in their original language if a proper, widely accepted translation is not available or would cause ambiguity.\n\n8.  **Completion Signal:** Output the literal string `<|COMPLETE|>` only after all entities and relationships, following all criteria, have been completely extracted and outputted.\n\n---Examples---\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\n<Output>\nentity<|#|>Alex<|#|>person<|#|>Alex is a character who experiences frustration and is observant of the dynamics among other characters.\nentity<|#|>Taylor<|#|>person<|#|>Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\nentity<|#|>Jordan<|#|>person<|#|>Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\nentity<|#|>Cruz<|#|>person<|#|>Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\nentity<|#|>The Device<|#|>equipment<|#|>The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\nrelation<|#|>Alex<|#|>Taylor<|#|>power dynamics, observation<|#|>Alex observes Taylor's authoritarian behavior and notes changes in Taylor's attitude toward the device.\nrelation<|#|>Alex<|#|>Jordan<|#|>shared goals, rebellion<|#|>Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.)\nrelation<|#|>Taylor<|#|>Jordan<|#|>conflict resolution, mutual respect<|#|>Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\nrelation<|#|>Jordan<|#|>Cruz<|#|>ideological conflict, rebellion<|#|>Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\nrelation<|#|>Taylor<|#|>The Device<|#|>reverence, technological significance<|#|>Taylor shows reverence towards the device, indicating its importance and potential impact.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the global tech index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, nexon technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\n<Output>\nentity<|#|>Global Tech Index<|#|>category<|#|>The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\nentity<|#|>Nexon Technologies<|#|>organization<|#|>Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\nentity<|#|>Omega Energy<|#|>organization<|#|>Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\nentity<|#|>Gold Futures<|#|>product<|#|>Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\nentity<|#|>Crude Oil<|#|>product<|#|>Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\nentity<|#|>Market Selloff<|#|>category<|#|>Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\nentity<|#|>Federal Reserve Policy Announcement<|#|>category<|#|>The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\nentity<|#|>3.4% Decline<|#|>category<|#|>The Global Tech Index experienced a 3.4% decline in midday trading.\nrelation<|#|>Global Tech Index<|#|>Market Selloff<|#|>market performance, investor sentiment<|#|>The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\nrelation<|#|>Nexon Technologies<|#|>Global Tech Index<|#|>company impact, index movement<|#|>Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\nrelation<|#|>Gold Futures<|#|>Market Selloff<|#|>market reaction, safe-haven investment<|#|>Gold prices rose as investors sought safe-haven assets during the market selloff.\nrelation<|#|>Federal Reserve Policy Announcement<|#|>Market Selloff<|#|>interest rate impact, financial regulation<|#|>Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\n<|COMPLETE|>\n\n\n<Entity_types>\n[\"Person\",\"Creature\",\"Organization\",\"Location\",\"Event\",\"Concept\",\"Method\",\"Content\",\"Data\",\"Artifact\",\"NaturalObject\"]\n\n<Input Text>\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\n<Output>\nentity<|#|>World Athletics Championship<|#|>event<|#|>The World Athletics Championship is a global sports competition featuring top athletes in track and field.\nentity<|#|>Tokyo<|#|>location<|#|>Tokyo is the host city of the World Athletics Championship.\nentity<|#|>Noah Carter<|#|>person<|#|>Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\nentity<|#|>100m Sprint Record<|#|>category<|#|>The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\nentity<|#|>Carbon-Fiber Spikes<|#|>equipment<|#|>Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\nentity<|#|>World Athletics Federation<|#|>organization<|#|>The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\nrelation<|#|>World Athletics Championship<|#|>Tokyo<|#|>event location, international competition<|#|>The World Athletics Championship is being hosted in Tokyo.\nrelation<|#|>Noah Carter<|#|>100m Sprint Record<|#|>athlete achievement, record-breaking<|#|>Noah Carter set a new 100m sprint record at the championship.\nrelation<|#|>Noah Carter<|#|>Carbon-Fiber Spikes<|#|>athletic equipment, performance boost<|#|>Noah Carter used carbon-fiber spikes to enhance performance during the race.\nrelation<|#|>Noah Carter<|#|>World Athletics Championship<|#|>athlete participation, competition<|#|>Noah Carter is competing at the World Athletics Championship.\n<|COMPLETE|>\n[{\"role\": \"user\", \"content\": \"---Task---\\nExtract entities and relationships from the input text in Data to be Processed below.\\n\\n---Instructions---\\n1.  **Strict Adherence to Format:** Strictly adhere to all format requirements for entity and relationship lists, including output order, field delimiters, and proper noun handling, as specified in the system prompt.\\n2.  **Output Content Only:** Output *only* the extracted list of entities and relationships. Do not include any introductory or concluding remarks, explanations, or additional text before or after the list.\\n3.  **Completion Signal:** Output `<|COMPLETE|>` as the final line after all relevant entities and relationships have been extracted and presented.\\n4.  **Output Language:** Ensure the output language is English. Proper nouns (e.g., personal names, place names, organization names) must be kept in their original language and not translated.\\n\\n---Data to be Processed---\\n<Entity_types>\\n[Person,Creature,Organization,Location,Event,Concept,Method,Content,Data,Artifact,NaturalObject]\\n\\n<Input Text>\\n```\\n育指标的正式男职员\\n可享受陪产假20天。\\n4.2.5.4产假的执行\\n员工请产假期间，只发放基本工资。\\n4.2.6 年假\\n4.2.6.1 年假的规定\\na、公司正式员工入职满1年不满 10年，年休假5天；\\nb、已满10年不满20年，年休假 10天。\\nc、已满20年的，年休假15天。\\n国家法定休假日、休息日不计入年休假的假期。\\n4.2.6.2 年假的执行\\na、年休假在一个自然年度内，可以集中安排，也可以分段安排；年休假\\n应在当年休完，不跨年度安排。\\nc、员工年休假不得与“十一”等节假日、休息日连休。\\nd、凡一年中已享受婚假、产假、丧假、事假、病假累计超过二十天的员\\n工，均不再享有年休假。\\n4.2.6.3年休假的计算\\n9 / 10\\n职工新进用人单位且入职满1 年，当年度年休假天数，按照在本单位剩\\n余日历天数折算确定，折算后不足1整天的部分不享受年休假。\\n前款规定的折算方法为：（当年度在本单位剩余日历天数÷365 天）×职\\n工本人全年应当享受的年休假天数。\\n4.3 考勤管理\\n4.3.1公司作息时间原则上规定为 09：30—18：30。\\n4.3.2 公司实行钉钉考勤制度，所有员工（含见习试用期员工）每天上班必\\n须钉钉打卡。\\n4.3.3特殊工作性质的部门或员工经公司总经理特批核准者，可不打卡。\\n4.3.4凡是当月忘记打卡，次月 1 日未申请补卡，罚款 50 元/次，超过3 次，\\n罚款100元/次。\\n4.3.5考勤周期\\n各部门应按月规定考勤周期，其起止时间为自然月，由公司行政人力资\\n源部负责管理。\\n4.3.6员工外出\\n员工外出，均需钉钉填写外出申请表，报总经理审批后，行政人力资源\\n部备案方可外出。\\n4.3.7 公司安排会议时员工迟到、早退或请假的，按上述迟到、早退、事假\\n条款执行。\\n4.3.8 除病假/丧假以外，其余所有请假均需钉钉流程全部审核通过方可请\\n假，否则一律按旷工处理。\\n4.4 全勤奖励\\n4.4.1月全勤奖励。对于当月全勤的员工，公司给予 100 元/人的奖励。\\n4.4.2 年度全勤奖励。对于全年全勤的员工，公司在年底一次性给予 2000\\n10 / 10\\n元/人的奖励。\\n5.0管理职责\\n5.1 行政人力资源部\\na、根据公司的实际情况制定、修改并解释《考勤管理制度》；\\nb、负责公司考勤数据、资料的收集、整理；\\nc、负责对公司员工日常考勤管理的监督、核查、管理。\\n6.0\\n本制度自下发之日起开始执行\\n本制度最终解释权归人力资源部\\n```\\n\\n<Output>\"}, {\"role\": \"assistant\", \"content\": \"entity<|#|>The Company<|#|>Organization<|#|>The organization that implements policies regarding leaves, attendance, and rewards as described in the document.\\nentity<|#|>Paternity Leave<|#|>Concept<|#|>A leave policy allowing regular male employees to take 20 days off for childbirth-related reasons.\\nentity<|#|>Maternity Leave<|#|>Concept<|#|>A leave policy for employees during which only basic salary is paid.\\nentity<|#|>Annual Leave<|#|>Concept<|#|>A leave entitlement based on years of service, with specific rules on usage and calculation.\\nentity<|#|>Attendance Management<|#|>Concept<|#|>The system and rules governing employee attendance, including work hours and clocking in/out.\\nentity<|#|>DingTalk Attendance System<|#|>Method<|#|>An attendance system using DingTalk for clocking in and out, mandatory for all employees.\\nentity<|#|>Administrative Human Resources Department<|#|>Organization<|#|>The department responsible for formulating, modifying, and explaining the attendance management system, and overseeing attendance data.\\nentity<|#|>General Manager<|#|>Person<|#|>The role that approves special cases, such as exemptions from clocking in/out for certain employees or departments.\\nentity<|#|>Basic Salary<|#|>Concept<|#|>The salary component paid during maternity leave, excluding other allowances.\\nentity<|#|>National Statutory Holidays<|#|>Concept<|#|>Public holidays that are not counted towards annual leave days.\\nentity<|#|>Rest Days<|#|>Concept<|#|>Regular days off that are not included in annual leave calculations.\\nentity<|#|>Full Attendance Reward<|#|>Concept<|#|>Monetary rewards given to employees for perfect attendance on a monthly or annual basis.\\nentity<|#|>Conversion Method for Annual Leave<|#|>Method<|#|>A calculation method for determining annual leave days for new employees based on remaining calendar days.\\nentity<|#|>Attendance Management System<|#|>Content<|#|>The formal policy document that outlines rules for attendance and leaves, as explained and enforced by the human resources department.\\nrelation<|#|>The Company<|#|>Paternity Leave<|#|>policy implementation, employee benefits<|#|>The Company provides paternity leave of 20 days for regular male employees.\\nrelation<|#|>The Company<|#|>Maternity Leave<|#|>policy implementation, salary payment<|#|>During maternity leave, the Company pays only basic salary.\\nrelation<|#|>The Company<|#|>Annual Leave<|#|>policy implementation, leave entitlement<|#|>The Company grants annual leave based on years of service with specific rules.\\nrelation<|#|>The Company<|#|>Attendance Management<|#|>system establishment, work regulation<|#|>The Company establishes attendance management rules including work hours and clocking systems.\\nrelation<|#|>The Company<|#|>Full Attendance Reward<|#|>incentive program, reward system<|#|>The Company offers monetary rewards for employees with full attendance.\\nrelation<|#|>Administrative Human Resources Department<|#|>Attendance Management System<|#|>policy formulation, management oversight<|#|>The Administrative Human Resources Department is responsible for creating and explaining the attendance management system.\\nrelation<|#|>DingTalk Attendance System<|#|>Attendance Management<|#|>tool usage, attendance tracking<|#|>The DingTalk attendance system is implemented as part of the attendance management to track employee clock-ins.\\nrelation<|#|>General Manager<|#|>Attendance Management<|#|>approval authority, exception handling<|#|>The General Manager has the authority to approve special cases such as exemptions from clocking in.\\nrelation<|#|>Annual Leave<|#|>Conversion Method for Annual Leave<|#|>calculation rule, leave allocation<|#|>The conversion method is used to calculate annual leave days for new employees.\\nrelation<|#|>Annual Leave<|#|>National Statutory Holidays<|#|>exclusion rule, leave calculation<|#|>National statutory holidays are not counted in annual leave days.\\nrelation<|#|>Annual Leave<|#|>Rest Days<|#|>exclusion rule, leave calculation<|#|>Rest days are not included in annual leave calculations.\\nrelation<|#|>Maternity Leave<|#|>Basic Salary<|#|>salary component, leave compensation<|#|>During maternity leave, only basic salary is paid to the employee.\\n<|COMPLETE|>\"}]",
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    "cache_type": "keywords",
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    "return": "{\"high_level_keywords\": [\"Annual leave\", \"Leave regulations\", \"Company policy\"], \"low_level_keywords\": [\"Vacation days\", \"Accrual method\", \"Eligibility criteria\", \"Carryover rules\", \"Request procedure\"]}",
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