Triple

T22318820
Position Surface form Disambiguated ID Type / Status
Subject Zone 3 (WMATA fare structure) E551724 entity
Predicate hasStation P35 FINISHED
Object Greenbelt 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: Greenbelt station | Statement: [Zone 3 (WMATA fare structure), hasStation, Greenbelt station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt station
Context triple: [Zone 3 (WMATA fare structure), hasStation, Greenbelt station]
  • A. Greenbelt station chosen
    Greenbelt station is a Washington Metro station in Maryland that serves as a major park-and-ride hub and northern gateway to the system.
  • B. Woodley Park station
    Woodley Park station is a Washington Metro Red Line subway station in Northwest Washington, D.C., serving the Woodley Park neighborhood near the National Zoo.
  • C. Northwick Park station
    Northwick Park station is a London Underground station on the Metropolitan line serving the Northwick Park area in the London Borough of Brent.
  • D. Forest Lane station
    Forest Lane station is a Dallas Area Rapid Transit (DART) light rail stop in Dallas, Texas, located along the system’s Red Line.
  • E. Tulse Hill railway station
    Tulse Hill railway station is a suburban rail station in south London that serves as a local commuter hub with connections to central London and surrounding areas.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.