Triple

T19698031
Position Surface form Disambiguated ID Type / Status
Subject Komatsu Airport E473014 entity
Predicate hasIATACode P2569 FINISHED
Object KMQ NE NERFINISHED

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: KMQ | Statement: [Komatsu Airport, hasIATACode, KMQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMQ
Context triple: [Komatsu Airport, hasIATACode, KMQ]
  • A. KMQ chosen
    KMQ is the IATA airport code for Komatsu Airport, a major regional airport in Ishikawa Prefecture, Japan, serving the Kanazawa area.
  • B. KMQY
    KMQY is the ICAO airport code for Smyrna/Rutherford County Airport, a public general aviation and military-use airport serving Smyrna in Rutherford County, Tennessee.
  • C. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • D. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • E. KQH
    KQH is the IATA airport code assigned to Kishangarh Airport serving the Ajmer region in Rajasthan, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.