Triple

T7869283
Position Surface form Disambiguated ID Type / Status
Subject W Line (RTD) E182697 entity
Predicate hasStation P35 FINISHED
Object Garrison station E547282 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: Garrison station | Statement: [W Line (RTD), hasStation, Garrison station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garrison station
Context triple: [W Line (RTD), hasStation, Garrison station]
  • A. Garrison station chosen
    Garrison station is a Metro-North Railroad commuter rail stop on the Hudson Line serving the hamlet of Garrison in New York’s Hudson Valley.
  • B. Bayside station
    Bayside station is a Long Island Rail Road commuter rail stop in the Bayside neighborhood of Queens, New York City.
  • C. Baldwin station
    Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
  • D. Bayside Station
    Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
  • E. Belmont Center station
    Belmont Center station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop located in the commercial center of Belmont, 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3848d6d88190830afcf04ad12154 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5615a38c8190b11af9fe5b2e1422 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:55 p.m.