Triple

T7411860
Position Surface form Disambiguated ID Type / Status
Subject East New York E171023 entity
Predicate subwayLine P18378 FINISHED
Object C line E561869 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: C line | Statement: [East New York, subwayLine, C line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C line
Context triple: [East New York, subwayLine, C line]
  • A. C line
    The C line is a route within Copenhagen’s S-train suburban rail network, providing frequent commuter service between central Copenhagen and its outlying districts.
  • B. C Line chosen
    The C Line is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • C. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • D. Line C
    Line C is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service within the city and its suburbs.
  • E. Line C
    Line C is one of the main lines of the Buenos Aires Underground, running north–south through central Buenos Aires and connecting key transport hubs in the city.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2a027148190bdb6a7940389e377 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c811244df081909b63e085d2272cd2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:11 p.m.