Triple

T6928069
Position Surface form Disambiguated ID Type / Status
Subject Bergen Airport, Flesland E160361 entity
Predicate owner P347 FINISHED
Object Avinor E119731 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 | Statement: [Bergen Airport, Flesland, owner, Avinor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avinor
Context triple: [Bergen Airport, Flesland, owner, 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. Braathens Regional Airlines
    Braathens Regional Airlines is a Swedish regional carrier that operates domestic and short-haul European flights, primarily serving business and commuter traffic.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1de28881908579bc198e74203e completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75859735081909382f1542271a1e4 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:27 p.m.