Triple

T3792277
Position Surface form Disambiguated ID Type / Status
Subject Bedford, New York E89681 entity
Predicate commuterRailStation P726 FINISHED
Object Katonah station E370767 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: Katonah station | Statement: [Bedford, New York, commuterRailStation, Katonah station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katonah station
Context triple: [Bedford, New York, commuterRailStation, Katonah station]
  • A. Katonah station chosen
    Katonah station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the hamlet of Katonah in Westchester County, New York.
  • B. Tarrytown station
    Tarrytown station is a commuter rail stop on Metro-North Railroad’s Hudson Line serving the village of Tarrytown in Westchester County, New York.
  • C. Chappaqua station
    Chappaqua station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the hamlet of Chappaqua in Westchester County, New York.
  • D. Ardsley station
    Ardsley station is a SEPTA Regional Rail stop in Pennsylvania that serves local commuters on the Warminster Line.
  • E. Cedarhurst station
    Cedarhurst station is a Long Island Rail Road commuter rail stop serving the village of Cedarhurst in Nassau County, New York.
  • 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_69aee769d68081908dcdd3d232dbb61c completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595eea03c8190a76a4e09a6d03919 completed March 14, 2026, 5:07 p.m.
Created at: March 9, 2026, 3:15 p.m.