Triple

T2096801
Position Surface form Disambiguated ID Type / Status
Subject IND Crosstown Line E36999 entity
Predicate lineDesignation P5539 FINISHED
Object Crosstown Line 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: Crosstown Line | Statement: [IND Crosstown Line, lineDesignation, Crosstown Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crosstown Line
Context triple: [IND Crosstown Line, lineDesignation, Crosstown Line]
  • 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. Blue Line
    The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
  • C. Blue Line
    The Blue Line is one of the primary routes of the MetroLink light rail system serving the St. Louis metropolitan area.
  • D. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
  • E. Blue Line
    The Blue Line is one of the primary heavy-rail transit routes in Atlanta’s MARTA system, running east–west across the metropolitan area and serving key urban and suburban stations.
  • 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_69aebf11478c8190988a280a5088b25d completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:43 p.m.