Triple

T11746788
Position Surface form Disambiguated ID Type / Status
Subject Seoul–Singapore E279299 entity
Predicate servedByAirline P12356 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: [Seoul–Singapore, servedByAirline, Korean Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korean Air
Context triple: [Seoul–Singapore, servedByAirline, 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a527dc08190a3ce08ddedaa5753 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:41 p.m.