Triple

T5290521
Position Surface form Disambiguated ID Type / Status
Subject OSL E119729 entity
Predicate refersTo P37 FINISHED
Object Oslo Airport, Gardermoen E22608 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: Oslo Airport, Gardermoen | Statement: [OSL, refersTo, Oslo Airport, Gardermoen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Airport, Gardermoen
Context triple: [OSL, refersTo, Oslo Airport, Gardermoen]
  • A. Oslo Airport, Gardermoen chosen
    Oslo Airport, Gardermoen is Norway’s main international airport and the primary aviation hub serving the Oslo region.
  • B. Bergen Airport, Flesland
    Bergen Airport, Flesland is the main international airport serving the city of Bergen and western Norway, handling both domestic and international flights.
  • C. Trondheim Airport, Værnes
    Trondheim Airport, Værnes is a major international airport in central Norway serving the city of Trondheim and the surrounding Trøndelag region.
  • D. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10dfc2948190b65f5e4c9388a5cb completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:52 p.m.