Triple

T20018966
Position Surface form Disambiguated ID Type / Status
Subject Roan wind farm E494797 entity
Predicate locatedInMunicipality P40 FINISHED
Object Åfjord NE NERFINISHED

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: Åfjord | Statement: [Roan wind farm, locatedInMunicipality, Åfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åfjord
Context triple: [Roan wind farm, locatedInMunicipality, Åfjord]
  • A. Åfjord chosen
    Åfjord is a coastal municipality in Trøndelag county, Norway, known for its fjords, fishing, and scenic rural landscapes.
  • B. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • C. Hjørungavåg
    Hjørungavåg is a small coastal village in western Norway, known for its scenic fjord landscape and maritime heritage.
  • D. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • E. Kvæfjord
    Kvæfjord is a coastal municipality in Troms og Finnmark county in northern Norway, known for its scenic fjord landscapes and as the birthplace of the traditional cake "Kvæfjordkake."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.