Triple

T21232604
Position Surface form Disambiguated ID Type / Status
Subject Mayapuri metro station E523259 entity
Predicate locatedOnLine P2409 FINISHED
Object Pink Line NE NERFINISHED

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: Pink Line | Statement: [Mayapuri metro station, locatedOnLine, Pink Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pink Line
Context triple: [Mayapuri metro station, locatedOnLine, Pink Line]
  • A. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • B. Pink Line
    The Pink Line is an elevated mass transit monorail route in Bangkok that serves as part of the city's urban rail network, connecting northern and eastern suburbs.
  • C. Pink Line chosen
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • D. Red Line
    The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
  • E. Red Line
    The Red Line is a regional express bus route operated under the SolanoExpress system, providing intercity transit service in Solano County and surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734b1524c8190a77eaf2fabd601c3 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.