Triple

T12364670
Position Surface form Disambiguated ID Type / Status
Subject City of Orange Township E294829 entity
Predicate hasRailStation P726 FINISHED
Object Orange station E294827 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: Orange station | Statement: [City of Orange Township, hasRailStation, Orange station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange station
Context triple: [City of Orange Township, hasRailStation, Orange station]
  • A. Orange station chosen
    Orange station is a historic commuter rail station in Orange, New Jersey, served by NJ Transit trains on the Morris & Essex Lines.
  • B. Orange station
    Orange station is a passenger rail station in Orange, California, serving as a stop for Metrolink commuter trains in the region.
  • C. Arena station
    Arena station is a light rail stop in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system near the Delta Center arena.
  • D. Ayer station
    Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
  • E. Austin station
    Austin station is a Chicago Transit Authority rapid transit stop on the Green Line located in the Austin neighborhood on the city's West Side.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.