Triple

T14517657
Position Surface form Disambiguated ID Type / Status
Subject Kempegowda International Airport E340564 entity
Predicate hubFor P423 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: [Kempegowda International Airport, hubFor, Air India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air India
Context triple: [Kempegowda International Airport, hubFor, 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. Air India Express
    Air India Express is an Indian low-cost airline, primarily operating short-haul international and domestic flights, and is a subsidiary of Air India.
  • 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. Tata Airlines
    Tata Airlines was the private Indian airline founded by J. R. D. Tata in the 1930s that later evolved into the national carrier Air India.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6f50208190b687b505f5cd1aa2 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a49484081908fd2030d33727a6d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.