Triple

T4794580
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport E106680 entity
Predicate hubFor P423 FINISHED
Object Asiana Airlines 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 Airlines | Statement: [Incheon International Airport, hubFor, Asiana Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiana Airlines
Context triple: [Incheon International Airport, hubFor, Asiana Airlines]
  • 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. Korean Air
    Korean Air is South Korea’s largest airline and flag carrier, operating extensive international and domestic passenger and cargo services worldwide.
  • C. Jeju Air
    Jeju Air is a South Korean low-cost airline that operates extensive domestic and international routes, particularly serving leisure and regional markets in East Asia.
  • D. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • E. 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.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66088d588190839acfbac6e1c3dd completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f9ee7e481909e1ff78764d0b67d completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:22 p.m.