Triple

T2235871
Position Surface form Disambiguated ID Type / Status
Subject Dongcheng District, Beijing E49277 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. 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.
  • C. Changfeng Park
    Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
  • D. Fuxing Park
    Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
  • E. Weiwuying Metropolitan Park
    Weiwuying Metropolitan Park is a large urban green space in Kaohsiung, Taiwan, known for its expansive lawns, recreational facilities, and integration with the nearby Weiwuying National Kaohsiung Center for the Arts.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71bd294c8190b46fc4ad69cb7c37 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.