Triple

T11280914
Position Surface form Disambiguated ID Type / Status
Subject New York City Geographic District 27 E267061 entity
Predicate servesNeighborhood P82 FINISHED
Object Woodhaven E164414 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: Woodhaven | Statement: [New York City Geographic District 27, servesNeighborhood, Woodhaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodhaven
Context triple: [New York City Geographic District 27, servesNeighborhood, Woodhaven]
  • A. Woodhaven chosen
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • B. Edgewater
    Edgewater is a waterfront neighborhood in Miami known for its high-rise residential buildings and proximity to both Biscayne Bay and the city’s urban core.
  • C. Edgewater
    Edgewater is a small coastal city in east-central Florida known for its location along the Indian River in Volusia County.
  • D. Edgewater
    Edgewater is a lakefront community area on Chicago’s North Side known for its dense urban neighborhoods, historic architecture, and proximity to Lake Michigan.
  • E. Welhaven
    Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a18ef88819095905fe726e07053 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:31 p.m.