Triple

T1091384
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro Yellow Line E24170 entity
Predicate hasTerminus P388 FINISHED
Object Fort Totten station E94448 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: Fort Totten station | Statement: [Washington Metro Yellow Line, hasTerminus, Fort Totten station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Totten station
Context triple: [Washington Metro Yellow Line, hasTerminus, Fort Totten station]
  • A. Fort Totten station chosen
    Fort Totten station is a major Washington Metro transfer hub in Northeast D.C. where the Red Line intersects with the Green and Yellow Lines.
  • B. Shawmut station
    Shawmut station is a rapid transit stop on Boston's MBTA Red Line serving the Dorchester neighborhood along the Ashmont branch.
  • C. North Bridge station
    North Bridge station was an early railway terminus in Edinburgh that later became part of what is now Edinburgh Waverley station.
  • D. Belmont Center station
    Belmont Center station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop located in the commercial center of Belmont, Massachusetts.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b982018481908b222df095e318c0 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fa73fe8819097bcd6c07793bc52 completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:42 p.m.