Triple

T14555972
Position Surface form Disambiguated ID Type / Status
Subject NYCCT E341542 entity
Predicate shortName P43 FINISHED
Object NYCCT E341542 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: NYCCT | Statement: [NYCCT, shortName, NYCCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYCCT
Context triple: [NYCCT, shortName, NYCCT]
  • A. NYCCT chosen
    NYCCT is an urban public college in Brooklyn that is part of the City University of New York system, known for its strong programs in technology, engineering, and applied sciences.
  • B. NYCT
    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.
  • C. NYCTA
    NYCTA is the commonly used abbreviation for the New York City Transit Authority, the agency that operates most of New York City's subway and bus services.
  • D. NYYC
    NYYC is a prestigious American yacht club based in New York, historically renowned for its pivotal role in competitive sailing and the America's Cup.
  • E. NYSP
    NYSP is the primary statewide law enforcement agency responsible for policing and public safety across New York State.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.