Triple

T9883448
Position Surface form Disambiguated ID Type / Status
Subject Ofoten district E180868 entity
Predicate hasMunicipality P847 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: [Ofoten district, hasMunicipality, Evenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evenes
Context triple: [Ofoten district, hasMunicipality, 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb453b388819095a5070399d9788d completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf0afcc81908d263df7651958e2 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.