Triple

T4225530
Position Surface form Disambiguated ID Type / Status
Subject Fort Totten station E94448 entity
Predicate servedByLine P1293 FINISHED
Object Yellow Line E14071 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: Yellow Line | Statement: [Fort Totten station, servedByLine, Yellow Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yellow Line
Context triple: [Fort Totten station, servedByLine, Yellow Line]
  • A. Yellow Line chosen
    The Yellow Line is one of the color-coded rapid transit routes in the Washington Metro system, running primarily in a north–south direction and serving key areas in Washington, D.C. and Northern Virginia.
  • B. Yellow Line
    The Yellow Line is one of the primary passenger rail routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in North East England.
  • C. Yellow Line
    The Yellow Line is a designated route within the Baltimore Light Rail system that serves as one of its primary color-coded service lines.
  • D. Yellow Line
    The Yellow Line is Budapest’s historic Metro Line 1, one of the world’s oldest underground railway lines and a key route running beneath Andrássy Avenue.
  • E. Yellow Line
    The Yellow Line is a rapid transit route in Chicago's 'L' system that connects the northern suburb of Skokie to the city's rail network.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4d32d481909df7b18f502945b8 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6134257688190b9fd16079cf8079e completed March 15, 2026, 2:02 a.m.
Created at: March 12, 2026, 11:04 p.m.