Triple

T7181384
Position Surface form Disambiguated ID Type / Status
Subject Jin Air E167454 entity
Predicate parentOrganization P254 FINISHED
Object Korean Air E30717 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: Korean Air | Statement: [Jin Air, parentOrganization, Korean Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korean Air
Context triple: [Jin Air, parentOrganization, Korean Air]
  • A. Korean Air chosen
    Korean Air is South Korea’s largest airline and flag carrier, operating extensive international and domestic passenger and cargo services worldwide.
  • B. Asiana Airlines
    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.
  • C. Korean National Airlines
    Korean National Airlines was South Korea’s first commercial flag carrier, operating international and domestic flights in the mid-20th century before being succeeded by modern Korean airlines.
  • D. 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.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bc25088190a7d7f3ba2461b5e9 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf8d76ac8190a2e29f2650e7af28 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.