Triple

T13923552
Position Surface form Disambiguated ID Type / Status
Subject Renmin University of China area E334803 entity
Predicate nearbyCulturalFacility P75188 FINISHED
Object Zizhuyuan Park E1063777 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: Zizhuyuan Park | Statement: [Renmin University of China area, nearbyCulturalFacility, Zizhuyuan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zizhuyuan Park
Context triple: [Renmin University of China area, nearbyCulturalFacility, Zizhuyuan Park]
  • A. Zizhuyuan Park chosen
    Zizhuyuan Park is a large, scenic urban park in Beijing known for its bamboo groves, lakes, and classical Chinese garden landscapes.
  • B. Xihui Park
    Xihui Park is a historic scenic park in Wuxi, China, known for its classical gardens, temples, and panoramic views of the surrounding city and Lake Tai.
  • C. 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.
  • D. 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.
  • E. Changfeng Park
    Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa6cd9881908f652538f4613f37 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c45ba4819096233570d8d4afec completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.