Triple

T4615686
Position Surface form Disambiguated ID Type / Status
Subject DEL E100862 entity
Predicate focusCityFor P164 FINISHED
Object Akasa Air E340567 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: Akasa Air | Statement: [DEL, focusCityFor, Akasa Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akasa Air
Context triple: [DEL, focusCityFor, Akasa Air]
  • A. Akasa Air chosen
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • B. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • C. Kish Air
    Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
  • D. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • E. Air Orient
    Air Orient was a French airline of the early 20th century that operated long-distance routes, particularly to Asia, before becoming one of the companies merged to form Air France.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59df3c3c8190be5db000f831d322 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa8da23881909ba4a70e9697f260 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.