Triple

T11701421
Position Surface form Disambiguated ID Type / Status
Subject KUO E278133 entity
Predicate identifies P310 FINISHED
Object Kuopio Airport E278132 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: Kuopio Airport | Statement: [KUO, identifies, Kuopio Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuopio Airport
Context triple: [KUO, identifies, Kuopio Airport]
  • A. Kuopio Airport chosen
    Kuopio Airport is a regional airport in Finland that serves the city of Kuopio and also functions alongside the military Rissala Air Base.
  • B. Pori Airport
    Pori Airport is a regional airport in Pori, Finland, serving domestic flights, pilot training, and general aviation.
  • C. Joensuu Airport
    Joensuu Airport is a regional airport in eastern Finland that serves the city of Joensuu and the surrounding North Karelia area with domestic and limited international flights.
  • D. Lappeenranta Airport
    Lappeenranta Airport is a regional airport in southeastern Finland that serves the city of Lappeenranta and provides both domestic and international flight connections.
  • E. Jyväskylä Airport
    Jyväskylä Airport is a regional airport in central Finland that serves the city of Jyväskylä with domestic flights and general aviation services.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49a025881909377c81d3debf465 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.