Triple

T7371725
Position Surface form Disambiguated ID Type / Status
Subject 42nd Street–Bryant Park station E170020 entity
Predicate servesSubwayService P10156 FINISHED
Object B E190122 NE FINISHED

How this triple was built (3 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 | Statement: [42nd Street–Bryant Park station, servesSubwayService, B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B
Context triple: [42nd Street–Bryant Park station, servesSubwayService, B]
  • A. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • B. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. B chosen
    B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • E. B 3
    B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesSubwayService
Context triple: [42nd Street–Bryant Park station, servesSubwayService, B]
  • A. hasSubway
    Indicates that a place is served by or contains a subway (metro) system.
  • B. subwayServices chosen
    Indicates that one entity provides or operates subway transportation services for another entity or area.
  • C. hasSubwayComplex
    Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
  • D. subwayOperation
    Indicates the operation or running of a subway system, relating transit services to the times, routes, or conditions under which subway trains are in service.
  • E. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • F. None of above.

Provenance (4 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f18451d88190ad4a2674279bb703 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c711788190806987567dbc9942 completed March 28, 2026, 4:33 p.m.
PD Predicate disambiguation batch_69c6f02ee3e08190a7a00c981129b22c completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:07 p.m.