Triple

T8102707
Position Surface form Disambiguated ID Type / Status
Subject Concourse Line E189152 entity
Predicate primaryService P11934 FINISHED
Object B train E14874 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: B train | Statement: [Concourse Line, primaryService, B train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B train
Context triple: [Concourse Line, primaryService, B train]
  • A. B train chosen
    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.
  • 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. 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.
  • D. G train
    The G train is a New York City Subway service that runs entirely within Brooklyn and Queens, notably bypassing Manhattan.
  • E. 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.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bd91408190880293dfdce8bef7 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc642095a08190bcf90e6470e127cc completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:31 p.m.