Triple

T23321608
Position Surface form Disambiguated ID Type / Status
Subject Garfield, New Jersey E591164 entity
Predicate railStation P918 FINISHED
Object Garfield 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: Garfield station | Statement: [Garfield, New Jersey, railStation, Garfield station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garfield station
Context triple: [Garfield, New Jersey, railStation, Garfield station]
  • A. Garfield station
    Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
  • B. Garfield station chosen
    Garfield station is a commuter rail stop in Garfield, New Jersey, serving passengers on NJ Transit's Main Line.
  • C. Vestby Station
    Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
  • D. Clearfield station
    Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
  • E. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978672148190bb90804361bb896b completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.