Triple

T97739
Position Surface form Disambiguated ID Type / Status
Subject IND Division E1968 entity
Predicate hasService P182 FINISHED
Object F train E15839 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: F train | Statement: [IND Division, hasService, F train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F train
Context triple: [IND Division, hasService, F train]
  • A. F train chosen
    The F train is a New York City Subway service that runs primarily along the IND Sixth Avenue Line in Manhattan, connecting neighborhoods in Queens, Manhattan, and Brooklyn.
  • B. E train
    The E train is a New York City Subway service that runs primarily along the IND Eighth Avenue Line, providing rapid transit between Queens and Manhattan.
  • C. G train
    The G train is a New York City Subway service that runs entirely within Brooklyn and Queens, notably bypassing Manhattan.
  • D. W train
    The W train is a local service of the New York City Subway that runs primarily in Manhattan and Queens, connecting Astoria to Lower Manhattan via the Broadway Line.
  • E. N train
    The N train is a New York City Subway service that runs on the BMT Broadway Line in Manhattan and into Brooklyn, providing both local and express transit.
  • 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_69a2fa794c808190acf50a7eb90a012a completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 2:09 a.m.