Triple
T9692810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天安门 |
E234574
|
entity |
| Predicate | 临近景点 |
P61362
|
FINISHED |
| Object | 毛主席纪念堂 |
E218209
|
NE FINISHED |
How this triple was built (2 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: 毛主席纪念堂 | Statement: [天安门, 临近景点, 毛主席纪念堂]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 毛主席纪念堂 Context triple: [天安门, 临近景点, 毛主席纪念堂]
-
A.
Mao Zedong Memorial Museum
chosen
The Mao Zedong Memorial Museum is a commemorative museum in Shaoshan, China, dedicated to preserving and presenting the life, legacy, and historical impact of Mao Zedong.
-
B.
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。
-
C.
Deng Xiaoping Memorial Hall
Deng Xiaoping Memorial Hall is a museum and commemorative site in Guang’an, China, dedicated to the life and legacy of former Chinese leader Deng Xiaoping.
-
D.
Sun Yat-sen Memorial Hall
Sun Yat-sen Memorial Hall is a major cultural and historical complex in Taipei dedicated to commemorating the founding father of the Republic of China, featuring exhibition spaces, performances, and a popular public plaza.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 30, 2026, 8:17 p.m.