Triple

T4959941
Position Surface form Disambiguated ID Type / Status
Subject Swedavia E111378 entity
Predicate operates P24 FINISHED
Object Kiruna Airport E525261 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: Kiruna Airport | Statement: [Swedavia, operates, Kiruna Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiruna Airport
Context triple: [Swedavia, operates, Kiruna Airport]
  • A. Kiruna Airport chosen
    Kiruna Airport is a regional airport in northern Sweden serving the town of Kiruna and the surrounding Arctic region, including access to the nearby space research and tourism activities.
  • B. Luleå Airport
    Luleå Airport is a major civilian and military airport in northern Sweden serving the city of Luleå and the wider Norrbotten region.
  • C. Umeå Airport
    Umeå Airport is a regional airport in northern Sweden serving the city of Umeå with domestic and limited international flights.
  • D. Rovaniemi Airport
    Rovaniemi Airport is a major civilian and seasonal tourist airport in Finnish Lapland, known as one of the primary gateways to the Arctic Circle and Santa Claus Village.
  • E. Hammerfest Airport
    Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71da80008190a0d606d5091822b8 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bbef34c8190ae4b22a94e1cf91a completed March 22, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:32 p.m.