Triple

T19323447
Position Surface form Disambiguated ID Type / Status
Subject Clearfield E483285 entity
Predicate hasTransportationFacility P2413 FINISHED
Object Clearfield Station NE NERFINISHED

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: Clearfield Station | Statement: [Clearfield, hasTransportationFacility, Clearfield Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clearfield Station
Context triple: [Clearfield, hasTransportationFacility, Clearfield Station]
  • A. Clearfield station chosen
    Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
  • B. Vestby Station
    Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
  • C. Maplewood station
    Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
  • D. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • E. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8a07508190a2e5f8972d1efba0 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.