Triple

T3508341
Position Surface form Disambiguated ID Type / Status
Subject Waban E74135 entity
Predicate hasPublicTransit P522 FINISHED
Object Waban station E57528 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: Waban station | Statement: [Waban, hasPublicTransit, Waban station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waban station
Context triple: [Waban, hasPublicTransit, Waban station]
  • A. Waban station chosen
    Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
  • B. Broadview station
    Broadview station is a major Toronto Transit Commission subway and streetcar hub located in the city's east end near the Danforth.
  • C. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • D. Westwood station
    Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
  • E. Lechmere station
    Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0b635c81909bc95ba2562d8f94 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6da490819093a5f574ff0b6b00 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.