Triple

T10413303
Position Surface form Disambiguated ID Type / Status
Subject SAS Group E245448 entity
Predicate focusCity P164 FINISHED
Object Bergen Airport Flesland E160361 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: Bergen Airport Flesland | Statement: [SAS Group, focusCity, Bergen Airport Flesland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen Airport Flesland
Context triple: [SAS Group, focusCity, Bergen Airport Flesland]
  • A. Bergen Airport, Flesland chosen
    Bergen Airport, Flesland is the main international airport serving the city of Bergen and western Norway, handling both domestic and international flights.
  • B. Trondheim Airport, Værnes
    Trondheim Airport, Værnes is a major international airport in central Norway serving the city of Trondheim and the surrounding Trøndelag region.
  • C. Oslo Airport, Fornebu
    Oslo Airport, Fornebu was the former main airport serving Oslo, Norway, operating from 1939 until its closure in 1998 when it was supplanted by Oslo Airport, Gardermoen.
  • D. Oslo Airport, Gardermoen
    Oslo Airport, Gardermoen is Norway’s main international airport and the primary aviation hub serving the Oslo region.
  • E. Stavanger Airport, Sola
    Stavanger Airport, Sola is a major international airport in southwestern Norway serving the Stavanger region and the North Sea oil industry.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f7bfce881908239cbb0915a5b81 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:10 p.m.