Triple

T10413352
Position Surface form Disambiguated ID Type / Status
Subject SAS E245449 entity
Predicate focusCity P164 FINISHED
Object Stavanger Airport, Sola E164087 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: Stavanger Airport, Sola | Statement: [SAS, focusCity, Stavanger Airport, Sola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavanger Airport, Sola
Context triple: [SAS, focusCity, Stavanger Airport, Sola]
  • A. Stavanger Airport, Sola chosen
    Stavanger Airport, Sola is a major international airport in southwestern Norway serving the Stavanger region and the North Sea oil industry.
  • B. Sandefjord Airport Torp
    Sandefjord Airport Torp is a regional international airport in southeastern Norway serving Sandefjord and the greater Vestfold area with domestic and European flights.
  • C. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
  • D. Trondheim Airport, Værnes
    Trondheim Airport, Værnes is a major international airport in central Norway serving the city of Trondheim and the surrounding Trøndelag region.
  • E. Kristiansund Airport, Kvernberget
    Kristiansund Airport, Kvernberget is a regional airport in Norway serving the town of Kristiansund and surrounding areas with domestic flights and offshore helicopter 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_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_69d979ecfef48190a6014601bcddf761 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:10 p.m.