Triple

T17339447
Position Surface form Disambiguated ID Type / Status
Subject Romerike E421025 entity
Predicate hasAirport P105 FINISHED
Object Oslo Airport Gardermoen NE ONNED1

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: [Romerike, hasAirport, Oslo Airport Gardermoen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Airport Gardermoen
Context triple: [Romerike, hasAirport, 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. 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.
  • C. 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.
  • 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. Oslo TMA
    Oslo TMA is a controlled terminal maneuvering area of Norwegian airspace surrounding Oslo, managing arriving and departing air traffic for the region’s main airports.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.