Triple

T8077851
Position Surface form Disambiguated ID Type / Status
Subject Sinan Mansions E188536 entity
Predicate locatedNear P294 FINISHED
Object Fuxing Park E188535 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: Fuxing Park | Statement: [Sinan Mansions, locatedNear, Fuxing Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuxing Park
Context triple: [Sinan Mansions, locatedNear, Fuxing Park]
  • A. Fuxing Park chosen
    Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
  • B. Chaoyang Park
    Chaoyang Park is a large urban recreational park in Beijing known for its lakes, green spaces, and cultural and sporting facilities.
  • 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. Changfeng Park
    Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a2b64c8190ae2b3414b4f840e4 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe73549081908e8601aab662725f completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:28 p.m.