Triple

T13147244
Position Surface form Disambiguated ID Type / Status
Subject Leknes Airport E312370 entity
Predicate isPartOfNetwork P840 FINISHED
Object Avinor regional airports E1022327 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: Avinor regional airports | Statement: [Leknes Airport, isPartOfNetwork, Avinor regional airports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avinor regional airports
Context triple: [Leknes Airport, isPartOfNetwork, Avinor regional airports]
  • A. Avinor
    Avinor is a Norwegian state-owned company responsible for owning, operating, and developing most of Norway’s civil airports and air navigation services.
  • B. Norwegian regional airport network chosen
    The Norwegian regional airport network is a system of smaller airports across Norway that provides vital domestic air connections to remote and rural communities.
  • 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. 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.
  • E. Røros Airport
    Røros Airport is a small regional airport in Røros, Norway, serving the local community and surrounding areas with domestic 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.