Triple

T14602171
Position Surface form Disambiguated ID Type / Status
Subject Altar of the Earth (Ditan Park) E342729 entity
Predicate hasChineseName P4878 FINISHED
Object 地坛公园
地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
E1108839 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: 地坛公园 | Statement: [Altar of the Earth (Ditan Park), hasChineseName, 地坛公园]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 地坛公园
Context triple: [Altar of the Earth (Ditan Park), hasChineseName, 地坛公园]
  • A. 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。
  • B. 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。
  • C. 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。
  • D. 圜丘坛
    圜丘坛是位于北京天坛内、明清两代皇帝举行祭天大典的重要露天祭坛建筑。
  • E. 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。
  • 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: 地坛公园
Triple: [Altar of the Earth (Ditan Park), hasChineseName, 地坛公园]
Generated description
地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 地坛公园
Target entity description: 地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
  • A. 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。
  • B. 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。
  • C. 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。
  • D. 圜丘坛
    圜丘坛是位于北京天坛内、明清两代皇帝举行祭天大典的重要露天祭坛建筑。
  • E. 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。
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd973985b881908f0c2fd201db8104 completed May 8, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd9843857c819089eb96564b8a9503 completed May 8, 2026, 8:01 a.m.
Created at: April 10, 2026, 1:25 a.m.