Triple

T10499236
Position Surface form Disambiguated ID Type / Status
Subject Dongcheng District, Beijing E247622 entity
Predicate contains P35 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: [Dongcheng District, Beijing, contains, Jingshan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingshan Park
Context triple: [Dongcheng District, Beijing, contains, 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. Ma'anshan Park
    Ma'anshan Park is a scenic urban park in Liuzhou, China, known for its green spaces, walking paths, and views of the surrounding karst landscape.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098e45ec8190a02b981a06786909 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90ddbbb3c8190873e8e3c27039b16 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:25 p.m.