Triple

T11524713
Position Surface form Disambiguated ID Type / Status
Subject Kumho Asiana Group E273261 entity
Predicate hasBrand P1500 FINISHED
Object Asiana E52407 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: Asiana | Statement: [Kumho Asiana Group, hasBrand, Asiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiana
Context triple: [Kumho Asiana Group, hasBrand, Asiana]
  • A. Asiana Airlines chosen
    Asiana Airlines is a major South Korean international airline based in Seoul, operating an extensive network of passenger and cargo services across Asia, Europe, North America, and Oceania.
  • B. 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.
  • C. Akasa Air
    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.
  • D. Asiana IDT
    Asiana IDT is a South Korean IT services and solutions company that provides system integration, IT consulting, and digital infrastructure support, particularly for businesses within the Kumho Asiana Group and related industries.
  • E. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018b2f394819084c3cfd589098c30 completed April 28, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:37 p.m.