Triple

T97741
Position Surface form Disambiguated ID Type / Status
Subject IND Division E1968 entity
Predicate hasService P182 FINISHED
Object D train E15411 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: D train | Statement: [IND Division, hasService, D train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D train
Context triple: [IND Division, hasService, D train]
  • A. D train chosen
    The D train is a major New York City Subway service that runs as an express route through Manhattan and the Bronx, connecting key neighborhoods across multiple boroughs.
  • B. C train
    The C train is a local service on the New York City Subway’s Eighth Avenue Line, running primarily between Upper Manhattan and Brooklyn.
  • C. B train
    The B train is a New York City Subway service that runs on the IND Sixth Avenue Line, providing weekday express service in Manhattan and Brooklyn.
  • D. Q train
    The Q train is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, connecting neighborhoods like Astoria, Midtown, and Coney Island.
  • E. 4 train
    The 4 train is a New York City Subway service that runs along the Lexington Avenue Line in Manhattan, providing express service between the Bronx and Brooklyn.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24feef1b08190bb9525f71cce053e completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30282051c81909845b23c651cc999 completed Feb. 28, 2026, 2:58 p.m.
Created at: Feb. 28, 2026, 2:09 a.m.