Triple

T13823196
Position Surface form Disambiguated ID Type / Status
Subject 中和殿 E332185 entity
Predicate locatedIn P40 FINISHED
Object 故宫
故宫是位于北京市中心、以明清皇宫建筑群著称的中国古代皇家宫殿与世界文化遗产。
E1063770 NE FINISHED

How this triple was built (4 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: 故宫 | Statement: [中和殿, locatedIn, 故宫]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 故宫
Context triple: [中和殿, locatedIn, 故宫]
  • 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. 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。
  • D. 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.
  • E. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • 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: 故宫
Triple: [中和殿, locatedIn, 故宫]
Generated description
故宫是位于北京市中心、以明清皇宫建筑群著称的中国古代皇家宫殿与世界文化遗产。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 故宫
Target entity description: 故宫是位于北京市中心、以明清皇宫建筑群著称的中国古代皇家宫殿与世界文化遗产。
  • 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. 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。
  • D. 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.
  • E. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • F. None of above. chosen

Provenance (5 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d81f488190875e9b3f885556ab completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba9ba0988190800e685cff4c2186 completed May 3, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:13 p.m.