Triple

T7025217
Position Surface form Disambiguated ID Type / Status
Subject 149th Street–Grand Concourse E162927 entity
Predicate division P889 FINISHED
Object IRT E63229 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: IRT | Statement: [149th Street–Grand Concourse, division, IRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRT
Context triple: [149th Street–Grand Concourse, division, IRT]
  • A. IRT chosen
    IRT is a major division of the New York City Subway system that operates the numbered (1–7) train lines, originally built by the Interborough Rapid Transit Company.
  • B. IR
    IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
  • C. IR
    IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
  • D. IRE
    IRE is the three-letter World Rugby code representing the Ireland national rugby union team.
  • E. IER
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77581e2a88190ad2ec9855772c6a5 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.