Triple

T3197703
Position Surface form Disambiguated ID Type / Status
Subject Chennai International Airport E66972 entity
Predicate focusCityFor P164 FINISHED
Object Air India E100865 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: Air India | Statement: [Chennai International Airport, focusCityFor, Air India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air India
Context triple: [Chennai International Airport, focusCityFor, Air India]
  • A. Air India chosen
    Air India is the flag carrier airline of India, operating domestic and international flights across numerous destinations worldwide.
  • B. SpiceJet
    SpiceJet is a major Indian low-cost airline operating extensive domestic and regional international services.
  • C. Vistara
    Vistara is an Indian full-service airline known for its premium in-flight experience and joint venture ownership by Tata Group and Singapore Airlines.
  • D. IndiGo
    IndiGo is a major Indian low-cost airline known for its extensive domestic network, high on-time performance, and large fleet of Airbus A320-family aircraft.
  • E. Batik Air
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb7cd488190ae95c140d9cda296 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.