Triple

T9692793
Position Surface form Disambiguated ID Type / Status
Subject 天安门 E234574 entity
Predicate 隶属建筑群 P38286 FINISHED
Object 北京皇城
北京皇城是明清两代北京城中围绕皇宫设置的内城区域,汇集重要宫殿、坛庙和皇家建筑群的核心防御与礼制空间。
E815749 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 北京皇城 | Statement: [天安门, 隶属建筑群, 北京皇城]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 北京皇城
Context triple: [天安门, 隶属建筑群, 北京皇城]
  • A. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • B. 太庙
    太庙是北京故宫东侧一座明清皇家宗庙建筑群,现为对公众开放的历史文化景区。
  • C. 首都体育馆
    首都体育馆 is a major multi-purpose indoor arena in Beijing, China, known for hosting prominent sports events and concerts.
  • D. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • E. 午门
    午门 is the grand southern entrance and main gate of Beijing’s Forbidden City, historically used for important imperial ceremonies and proclamations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 北京皇城
Triple: [天安门, 隶属建筑群, 北京皇城]
Generated description
北京皇城是明清两代北京城中围绕皇宫设置的内城区域,汇集重要宫殿、坛庙和皇家建筑群的核心防御与礼制空间。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 北京皇城
Target entity description: 北京皇城是明清两代北京城中围绕皇宫设置的内城区域,汇集重要宫殿、坛庙和皇家建筑群的核心防御与礼制空间。
  • A. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • B. 太庙
    太庙是北京故宫东侧一座明清皇家宗庙建筑群,现为对公众开放的历史文化景区。
  • C. 首都体育馆
    首都体育馆 is a major multi-purpose indoor arena in Beijing, China, known for hosting prominent sports events and concerts.
  • D. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • E. 午门
    午门 is the grand southern entrance and main gate of Beijing’s Forbidden City, historically used for important imperial ceremonies and proclamations.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 隶属建筑群
Context triple: [天安门, 隶属建筑群, 北京皇城]
  • A. belongsToBuildingComplex chosen
    Indicates that one building or structure is part of, or included within, a larger building complex.
  • B. isMainBuildingOf
    Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
  • C. belongsToBuildingType
    Indicates that something is classified as being of a particular building type.
  • D. isBuildingOf
    Indicates that one entity is a building that belongs to, houses, or is associated with another entity (such as an organization, institution, or complex).
  • E. containsUnionBuildings
    Indicates that one entity includes or encompasses buildings associated with a union within its boundaries or composition.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d0727908190897894151c0ee7c2 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19533ef1c8190926ffb4eb92b8ef4 completed April 4, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69d195b69a4c8190941b92cc36bdc416 completed April 4, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:17 p.m.