Triple

T17700452
Position Surface form Disambiguated ID Type / Status
Subject Konya Airport E441283 entity
Predicate IATA code P2569 FINISHED
Object KYA 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: KYA | Statement: [Konya Airport, IATA code, KYA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KYA
Context triple: [Konya Airport, IATA code, KYA]
  • A. KYA chosen
    KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
  • B. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • C. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • D. CYKA
    CYKA is the ICAO airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • E. KAINA
    KAINA is a Chicago-based singer, songwriter, and producer known for her soulful, genre-blending music and introspective lyrics.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715ae1fc81908438a1bba970c6ec completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.