Triple

T18477232
Position Surface form Disambiguated ID Type / Status
Subject Rajiv Chowk E451464 entity
Predicate metroLine P848 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: [Rajiv Chowk, metroLine, Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Line
Context triple: [Rajiv Chowk, metroLine, 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: Blue Line is one of the main lines of the Delhi Metro network, running across key parts of the National Capital Region and serving major commercial and residential areas.
  • A. Blue Line chosen
    The Blue Line is one of the major corridors of the Delhi Metro rapid transit system, connecting key residential and commercial areas across Delhi and its neighboring regions.
  • B. Blue Line
    The Blue Line is one of the main corridors of the Chennai Metro rapid transit system, connecting key areas of Chennai, India.
  • C. Blue Line
    The Blue Line is one of the main rapid transit corridors of the Hyderabad Metro system in Hyderabad, India.
  • D. Blue Line
    The Blue Line is one of the primary light rail transit routes in Calgary's CTrain system, serving key corridors across the city.
  • E. Blue Line
    The Blue Line is a planned rapid transit corridor of Bengaluru’s Namma Metro network intended to expand connectivity across additional parts of the city.
  • F. None of above.

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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53063c0108190be71247567b5241b completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.