Triple

T8168474
Position Surface form Disambiguated ID Type / Status
Subject New York City Transit Authority E190754 entity
Predicate shortName P43 FINISHED
Object NYCT E297971 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: NYCT | Statement: [New York City Transit Authority, shortName, NYCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYCT
Context triple: [New York City Transit Authority, shortName, NYCT]
  • A. NYCT chosen
    NYCT is the primary bus operating division of New York City's Metropolitan Transportation Authority, running most of the city's local and express bus services.
  • B. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • C. New York-New York
    New York-New York is a New York City–themed hotel and casino located on the Las Vegas Strip, known for its replica skyline and entertainment offerings.
  • D. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • E. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb466abfe48190b4eb2f23b1e28668 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf4b68288190be7490119d46b242 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.