Triple

T628255
Position Surface form Disambiguated ID Type / Status
Subject Times Square–42nd Street subway station E15867 entity
Predicate division P889 FINISHED
Object 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.
 E78743 NE FINISHED

How this triple was built (4 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: [Times Square–42nd Street subway station, division, BMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMT
Context triple: [Times Square–42nd Street subway station, division, BMT]
  • A. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • B. BMT Division
    BMT Division is a specialized organizational unit focused on bone marrow transplantation and related hematologic treatments.
  • C. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • D. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • E. B train
    The B train is a New York City Subway service that runs on the IND Sixth Avenue Line, providing weekday express service in Manhattan and Brooklyn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BMT
Triple: [Times Square–42nd Street subway station, division, BMT]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMT
Target entity description: 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.
  • A. MRT
    MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
  • B. BMT Division
    BMT Division is a specialized organizational unit focused on bone marrow transplantation and related hematologic treatments.
  • C. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • D. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • E. B train
    The B train is a New York City Subway service that runs on the IND Sixth Avenue Line, providing weekday express service in Manhattan and Brooklyn.
  • F. None of above. chosen

Provenance (5 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56938be6481909a8eba01f5d856c1 completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a569ec60a08190ad2f84dc20635621 completed March 2, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69a56a6d09cc8190959d8d2e7621041f completed March 2, 2026, 10:46 a.m.
Created at: March 1, 2026, 7:35 p.m.