Triple

T1753095
Position Surface form Disambiguated ID Type / Status
Subject Greenpoint E38490 entity
Predicate servedBySubwayLine P17559 FINISHED
Object G train E16593 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: G train | Statement: [Greenpoint, servedBySubwayLine, G train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G train
Context triple: [Greenpoint, servedBySubwayLine, G train]
  • A. G train chosen
    The G train is a New York City Subway service that runs entirely within Brooklyn and Queens, notably bypassing Manhattan.
  • 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. J train
    The J train is a New York City Subway service that runs along the BMT Jamaica Line, connecting Jamaica, Queens with Lower Manhattan via Brooklyn.
  • D. 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.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b679d88190b3c6e50c96f917e4 completed March 8, 2026, 7:44 p.m.
Created at: March 4, 2026, 7:31 p.m.