Triple

T10063648
Position Surface form Disambiguated ID Type / Status
Subject Calicut International Airport E213046 entity
Predicate focusCityFor P164 FINISHED
Object Air India Express E450948 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 Express | Statement: [Calicut International Airport, focusCityFor, Air India Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air India Express
Context triple: [Calicut International Airport, focusCityFor, Air India Express]
  • A. Air India Express chosen
    Air India Express is an Indian low-cost airline, primarily operating short-haul international and domestic flights, and is a subsidiary of Air India.
  • B. Air India
    Air India is the flag carrier airline of India, operating domestic and international flights across numerous destinations worldwide.
  • C. Jat Airways
    Jat Airways was the former national airline of Serbia and Yugoslavia, operating regional and international flights before being rebranded as Air Serbia.
  • D. Orient Airways
    Orient Airways was a pioneering South Asian airline that later evolved into Pakistan International Airlines, the national flag carrier of Pakistan.
  • E. SpiceJet
    SpiceJet is a major Indian low-cost airline operating extensive domestic and regional international services.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.