Triple

T3753485
Position Surface form Disambiguated ID Type / Status
Subject MBTA Mattapan High-Speed Line E81387 entity
Predicate hasStation P35 FINISHED
Object Butler station E93489 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: Butler station | Statement: [MBTA Mattapan High-Speed Line, hasStation, Butler station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler station
Context triple: [MBTA Mattapan High-Speed Line, hasStation, Butler station]
  • A. Butler station chosen
    Butler station is a small MBTA light rail stop on Boston’s historic Mattapan trolley line in the Dorchester/Mattapan area.
  • B. Lancaster Station
    Lancaster Station is an Amtrak passenger rail station in Lancaster, Pennsylvania, serving intercity and regional trains along the Keystone Corridor.
  • C. Harrison station
    Harrison station is a commuter rail stop in Harrison, New Jersey, serving passengers on the PATH rapid transit system between Newark and New York City.
  • D. Baldwin station
    Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
  • E. Winchester station
    Winchester station is a light rail stop in Campbell, California, serving as the western terminus of the Santa Clara Valley Transportation Authority (VTA) Green Line.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02fb680819092ea86040b4b5bcf completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.