Triple

T17731987
Position Surface form Disambiguated ID Type / Status
Subject Namsos Airport, Høknesøra E442608 entity
Predicate operator P179 FINISHED
Object Avinor 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: Avinor | Statement: [Namsos Airport, Høknesøra, operator, Avinor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avinor
Context triple: [Namsos Airport, Høknesøra, operator, Avinor]
  • A. Avinor chosen
    Avinor is a Norwegian state-owned company responsible for owning, operating, and developing most of Norway’s civil airports and air navigation services.
  • B. Widerøe
    Widerøe is a Norwegian regional airline known for operating an extensive network of domestic routes, particularly to smaller airports across Norway.
  • C. Norwegian Air Shuttle
    Norwegian Air Shuttle is a low-cost Norwegian airline known for operating extensive short- and long-haul routes across Europe and beyond.
  • D. Det Norske Luftfartselskap
    Det Norske Luftfartselskap was a Norwegian airline company that became one of the key predecessors to the modern Scandinavian Airlines (SAS).
  • E. Norwegian Air Norway
    Norwegian Air Norway is a Norwegian low-cost airline subsidiary that operates domestic and regional flights on behalf of its parent company, Norwegian Air Shuttle.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e7773081909dadb90ff5cb0906 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.