Triple

T15021167
Position Surface form Disambiguated ID Type / Status
Subject Bodø Airport E378086 entity
Predicate operator P179 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: [Bodø Airport, operator, Avinor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avinor
Context triple: [Bodø Airport, 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 (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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd2c96c8190a0368678584aaa16 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:56 a.m.