Triple

T5943721
Position Surface form Disambiguated ID Type / Status
Subject Gardermoen Line E132229 entity
Predicate connects P390 FINISHED
Object Oslo Airport 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 | Statement: [Gardermoen Line, connects, Oslo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Airport
Context triple: [Gardermoen Line, connects, Oslo Airport]
  • 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. 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. 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.
  • E. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03937b4a88190819a1fd63fc3d3ed completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24396c8248190a54f9cf065649754 completed March 24, 2026, 7:56 a.m.
Created at: March 22, 2026, 4:01 p.m.