Triple

T22118720
Position Surface form Disambiguated ID Type / Status
Subject Canarsie Line E546606 entity
Predicate hasRollingStock P1305 FINISHED
Object R179 NE NERFINISHED

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: R179 | Statement: [Canarsie Line, hasRollingStock, R179]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R179
Context triple: [Canarsie Line, hasRollingStock, R179]
  • A. R179 chosen
    The R179 is a class of New York City Subway rolling stock built for the B Division, primarily serving lines such as the Canarsie Line with modern features and improved reliability over older car classes.
  • B. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • C. R129
    R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • D. R19
    R19 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
  • E. R17
    R17 is a regional commuter rail line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294fcf2c81909b610e03a0f1921f completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.