Triple

T13903549
Position Surface form Disambiguated ID Type / Status
Subject Temple of the White Dagoba E334287 entity
Predicate near P350 FINISHED
Object Jingshan Park E67415 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: Jingshan Park | Statement: [Temple of the White Dagoba, near, Jingshan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingshan Park
Context triple: [Temple of the White Dagoba, near, Jingshan Park]
  • A. Jingshan Park chosen
    Jingshan Park is a historic imperial garden and scenic hilltop park in central Beijing, offering panoramic views over the Forbidden City and the surrounding cityscape.
  • B. Lianhuashan Park
    Lianhuashan Park is a large urban park in Shenzhen known for its hilltop views of the city skyline and its prominent Deng Xiaoping statue.
  • C. Beihai Park
    Beihai Park is a historic imperial garden and public park in central Beijing, renowned for its large lake, traditional Chinese architecture, and iconic White Dagoba.
  • D. Haidian Park
    Haidian Park is a large urban green space and recreational park located in Beijing’s Haidian District, known for its lakes, gardens, and cultural attractions.
  • E. Zizhuyuan Park
    Zizhuyuan Park is a large, scenic urban park in Beijing known for its bamboo groves, lakes, and classical Chinese garden landscapes.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7638a88190aae1b59c00ee27ce completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.