Triple

T2341160
Position Surface form Disambiguated ID Type / Status
Subject Kew Gardens E45028 entity
Predicate adjacentTo P224 FINISHED
Object Briarwood E232748 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: Briarwood | Statement: [Kew Gardens, adjacentTo, Briarwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Briarwood
Context triple: [Kew Gardens, adjacentTo, Briarwood]
  • A. Briarwood chosen
    Briarwood is a New York City Subway station in the Briarwood neighborhood of Queens, serving trains on the IND Queens Boulevard Line.
  • B. Laurelwood
    Laurelwood was a former community or tract in the San Fernando Valley that was later incorporated into what is now known as Studio City in Los Angeles, California.
  • C. Valley Gardens
    Valley Gardens is a landscaped ornamental garden area within Windsor Great Park in Berkshire, England, known for its seasonal displays of flowering shrubs and scenic woodland walks.
  • D. Valley Gardens
    Valley Gardens is a historic public park in Harrogate, North Yorkshire, known for its landscaped gardens, mineral springs, and recreational facilities.
  • E. Greenwood Heights
    Greenwood Heights is a residential neighborhood in Brooklyn, New York City, known for its hilly streets, diverse community, and proximity to the historic Green-Wood Cemetery.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3be86dc8190af185bac9554e7d6 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:52 p.m.