Triple

T14602093
Position Surface form Disambiguated ID Type / Status
Subject Imperial Ancestral Temple E342728 entity
Predicate locatedNear P294 FINISHED
Object Zhongshan Park E348677 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: Zhongshan Park | Statement: [Imperial Ancestral Temple, locatedNear, Zhongshan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan Park
Context triple: [Imperial Ancestral Temple, locatedNear, Zhongshan Park]
  • A. Zhongshan Park chosen
    Zhongshan Park is a public urban park in central Beijing known for its historical monuments, landscaped gardens, and proximity to the Forbidden City.
  • B. Zhongshan Park
    Zhongshan Park is a major urban park and commercial hub in Shanghai, China, known for its green spaces, shopping centers, and role as a key public transit interchange.
  • C. Zhongzheng Park
    Zhongzheng Park is a prominent hillside park in Keelung, Taiwan, best known for its large Guanyin statue, temples, and panoramic views over the harbor city.
  • D. Xinsheng Park
    Xinsheng Park is a major urban green space in Taipei, Taiwan, known for its landscaped gardens, recreational facilities, and role as a key site for large-scale public events.
  • E. Guangqi Park
    Guangqi Park was the former name of Shanghai’s historic Fuxing Park, a well-known French-style urban green space in the city’s former French Concession.
  • 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_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.
Created at: April 10, 2026, 1:25 a.m.