Triple

T2940121
Position Surface form Disambiguated ID Type / Status
Subject IND E79364 entity
Predicate oneOfThreeDivisionsWith P6497 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: [IND, oneOfThreeDivisionsWith, BMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMT
Context triple: [IND, oneOfThreeDivisionsWith, 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 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.
  • C. BAM
    BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • D. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • E. BMT Division
    BMT Division is a specialized organizational unit focused on bone marrow transplantation and related hematologic treatments.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e0fec048190bdd70c60ec5c92cd completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.