Triple

T22208473
Position Surface form Disambiguated ID Type / Status
Subject 45th Street E548876 entity
Predicate systemStyle P13268 FINISHED
Object BMT 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: BMT | Statement: [45th Street, systemStyle, BMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMT
Context triple: [45th Street, systemStyle, BMT]
  • A. BMT
    BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
  • B. BMT
    BMT is a long-distance hiking trail in the southeastern United States that traverses the Appalachian Mountains, named after conservationist Benton MacKaye.
  • C. BMT lines chosen
    BMT lines are a group of New York City Subway routes that originated with the former Brooklyn–Manhattan Transit Corporation and primarily serve Brooklyn and Manhattan.
  • D. BTM
    BTM is the IATA airport code for Bert Mooney Airport, a public airport serving Butte, Montana, in the United States.
  • E. BAM
    BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b29eb808190ab8abaa1e0e354fa completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.