Triple

T5705648
Position Surface form Disambiguated ID Type / Status
Subject SD E125776 entity
Predicate oversees P46 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: [SD, oversees, Avinor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avinor
Context triple: [SD, oversees, 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a666d788190a0f786d12391a44b completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.