Triple

T16660749
Position Surface form Disambiguated ID Type / Status
Subject Prince Street E404850 entity
Predicate division P889 FINISHED
Object BMT E78743 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: BMT | Statement: [Prince Street, division, BMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMT
Context triple: [Prince Street, division, BMT]
  • A. BMT chosen
    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
    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. BAM
    BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • E. BAM
    BAM is a contemporary art museum in Boise, Idaho, known for its rotating exhibitions, educational programs, and regional art collections.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfee5448190bb44c4dadba5dcbd completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ce7cf0819091e7a4de2cc010ea completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.