Triple

T20604358
Position Surface form Disambiguated ID Type / Status
Subject Ashby station E506263 entity
Predicate servedByLine P1293 FINISHED
Object Blue Line — NE NERFINISHED

How this triple was built (3 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: Blue Line | Statement: [Ashby station, servedByLine, Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blue Line
Context triple: [Ashby station, servedByLine, Blue Line]
  • A. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
  • B. Blue Line
    The Blue Line is a primary light rail route of the San Diego Trolley system, running through key corridors of the San Diego metropolitan area.
  • C. Blue Line
    The Blue Line is one of the aerial cable car routes in La Paz–El Alto’s Mi Teleférico urban transit system, providing high-altitude public transportation across the Bolivian cities.
  • D. Blue Line
    The Blue Line is a light rail service in Pittsburgh's public transit system that connects downtown with several southern suburbs.
  • E. Blue Line
    The Blue Line is one of the automated people-mover routes in San Francisco International Airport’s AirTrain system, circulating between terminals, parking garages, and other key airport facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blue Line
Target entity description: The Blue Line is a Bay Area Rapid Transit (BART) service route in the San Francisco Bay Area that includes Ashby station among its stops.
  • A. Blue Line
    The Blue Line is a public transit rail line that serves CTC/Arena Station as part of its route.
  • B. Blue Line
    The Blue Line is a light rail service operated by Sacramento Regional Transit that runs through key corridors of the Sacramento metropolitan area.
  • C. Blue Line
    The Blue Line is one of Boston's MBTA rapid transit routes, running primarily between downtown Boston and the coastal communities of East Boston and Revere.
  • D. Blue Line
    Blue Line is a regional SolanoExpress bus route providing public transit connections within Solano County and to neighboring areas in Northern California.
  • E. Blue Line
    The Blue Line is a public transit route that serves Snowdon station as part of its network.
  • F. None of above. chosen

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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa233e1881908749d2f29c2946e4 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.