Triple

T16653397
Position Surface form Disambiguated ID Type / Status
Subject Woodside, Queens E404662 entity
Predicate park P5641 FINISHED
Object Big Bush Park E918609 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: Big Bush Park | Statement: [Woodside, Queens, park, Big Bush Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Bush Park
Context triple: [Woodside, Queens, park, Big Bush Park]
  • A. Mafera Park chosen
    Mafera Park is a neighborhood public park in the Ridgewood section of Queens, New York City, offering recreational facilities and green space for local residents.
  • B. Savane Park
    Savane Park is a central public garden and gathering place in Fort-de-France, Martinique, known for its open lawns, statues, and views of the surrounding city and bay.
  • C. Barigui Park
    Barigui Park is one of Curitiba’s largest and most popular urban green spaces, known for its lakes, walking and cycling paths, and abundant wildlife.
  • D. Bouckenborgh Park
    Bouckenborgh Park is a public green space in the Antwerp district of Merksem, known for its historic castle, ponds, and recreational areas.
  • E. Srambang Park
    Srambang Park is a natural tourist destination in Ngawi Regency, Indonesia, known for its forested landscapes, cool climate, and scenic waterfall.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c6bf8c81909b376875ae038e3f completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.