Triple

T13282654
Position Surface form Disambiguated ID Type / Status
Subject Bogen i Ofoten E316362 entity
Predicate locatedInMunicipality P40 FINISHED
Object Evenes E674438 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: Evenes | Statement: [Bogen i Ofoten, locatedInMunicipality, Evenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evenes
Context triple: [Bogen i Ofoten, locatedInMunicipality, Evenes]
  • A. Evenes chosen
    Evenes is a small municipality in Nordland county, Norway, known for hosting Harstad/Narvik Airport, a key regional transport hub in Northern Norway.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Hannum
    Hannum is a surname most notably associated with Alex Hannum, a Hall of Fame American basketball coach and former player.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Evenstad
    Evenstad is a small Norwegian locality known for hosting a campus of the Inland Norway University of Applied Sciences, particularly focused on environmental and wildlife-related studies.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a592d748190b55129515f71e979 completed May 3, 2026, 8:42 a.m.
Created at: April 9, 2026, 9:27 p.m.