Triple

T2096815
Position Surface form Disambiguated ID Type / Status
Subject IND Crosstown Line E36999 entity
Predicate hasAbbreviation P43 FINISHED
Object IND Crosstown E36999 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: IND Crosstown | Statement: [IND Crosstown Line, hasAbbreviation, IND Crosstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IND Crosstown
Context triple: [IND Crosstown Line, hasAbbreviation, IND Crosstown]
  • A. IND Crosstown Line chosen
    The IND Crosstown Line is a New York City Subway line in Brooklyn and Queens served by the G train, notable for being the only major line that does not enter Manhattan.
  • B. Beltline
    Beltline is a densely populated, urban inner-city neighbourhood in Calgary known for its high-rise residences, nightlife, and cultural amenities just south of the downtown core.
  • C. Conley Terminal
    Conley Terminal is the primary container shipping facility serving the Port of Boston and New England’s maritime trade.
  • D. Boulevard Ring
    The Boulevard Ring is a semi-circular chain of boulevards encircling central Moscow, known as a major historical and cultural thoroughfare.
  • E. Center City Concourse
    Center City Concourse is an extensive underground pedestrian and transit concourse network in downtown Philadelphia that links multiple subway and regional rail stations with nearby buildings.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305eabc48190b6912e05833580d8 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.