Triple

T12150824
Position Surface form Disambiguated ID Type / Status
Subject Bardufoss E289447 entity
Predicate hasAirport P105 FINISHED
Object Bardufoss Airport E385287 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: Bardufoss Airport | Statement: [Bardufoss, hasAirport, Bardufoss Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardufoss Airport
Context triple: [Bardufoss, hasAirport, Bardufoss Airport]
  • A. Bardufoss Airport chosen
    Bardufoss Airport is a regional airport in northern Norway that serves the town of Bardufoss and the surrounding Troms area, handling both civilian and military air traffic.
  • B. Bodø Airport
    Bodø Airport is a regional airport in Bodø, Norway, serving as an important hub for civilian flights and military aviation in the Nordland region.
  • C. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
  • D. Røros Airport
    Røros Airport is a small regional airport in Røros, Norway, serving the local community and surrounding areas with domestic flights.
  • E. Haugesund Airport Karmøy
    Haugesund Airport Karmøy is a regional airport in western Norway serving the town of Haugesund and surrounding areas with domestic and limited international 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69aa2e88190aaa58468571d6dad completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.