Triple

T3790565
Position Surface form Disambiguated ID Type / Status
Subject Lechmere Square E89634 entity
Predicate hasStation P35 FINISHED
Object Lechmere station E92544 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: Lechmere station | Statement: [Lechmere Square, hasStation, Lechmere station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lechmere station
Context triple: [Lechmere Square, hasStation, Lechmere station]
  • A. Lechmere station chosen
    Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
  • B. Linden station
    Linden station is a Chicago Transit Authority rapid transit station in Wilmette, Illinois, serving as the northern endpoint of the Purple Line.
  • C. Locust Manor station
    Locust Manor station is a commuter rail stop in Queens, New York City, served by the Long Island Rail Road.
  • 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. Lawrence station
    Lawrence station is a commuter rail stop in Lawrence, Massachusetts, served by the MBTA on its Haverhill 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76733248190a24a1143c64bd6c6 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503eef20c8190ad7906275b4b0e67 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:15 p.m.