Triple

T2460117
Position Surface form Disambiguated ID Type / Status
Subject Chhatrapati Shivaji Maharaj International Airport E54513 entity
Predicate hubFor P423 FINISHED
Object IndiGo E105127 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: IndiGo | Statement: [Chhatrapati Shivaji Maharaj International Airport, hubFor, IndiGo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IndiGo
Context triple: [Chhatrapati Shivaji Maharaj International Airport, hubFor, IndiGo]
  • A. IndiGo chosen
    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.
  • 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. Garuda Indonesia
    Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
  • E. EVA Air
    EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179665d081909f9a761fa50c44e7 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.