Triple

T8034791
Position Surface form Disambiguated ID Type / Status
Subject Violet Line E187077 entity
Predicate interchangeWith P3495 FINISHED
Object Yellow Line unclear NED1 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: [Violet Line, interchangeWith, Yellow Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yellow Line
Context triple: [Violet Line, interchangeWith, Yellow Line]
  • A. Yellow Line
    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 a Bay Area Rapid Transit (BART) service route that runs between Antioch in the East Bay and San Francisco International Airport/Millbrae on the San Francisco Peninsula.
  • E. Yellow Line
    Yellow Line is one of the principal urban cable car routes in La Paz–El Alto’s Mi Teleférico system, providing high-altitude public transit and panoramic city views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:22 p.m.