Triple

T20367297
Position Surface form Disambiguated ID Type / Status
Subject Kvenndalsfjellet wind farm E496946 entity
Predicate locatedIn P40 FINISHED
Object Fosen region 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: Fosen region | Statement: [Kvenndalsfjellet wind farm, locatedIn, Fosen region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosen region
Context triple: [Kvenndalsfjellet wind farm, locatedIn, Fosen region]
  • A. Fosen region chosen
    The Fosen region is a coastal area in Trøndelag, Norway, known for its rugged landscapes, fishing communities, and large-scale wind power developments.
  • B. Vestlandet
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Oslofjord region
    The Oslofjord region is a coastal area in southeastern Norway centered around the Oslofjord, known for its ports, maritime activities, and proximity to the capital city, Oslo.
  • D. Lyngen region
    The Lyngen region is a scenic area in Troms, northern Norway, known for its dramatic fjords, alpine peaks, and popular outdoor activities like skiing and hiking.
  • E. Fosen district
    Fosen district is a traditional coastal region in Trøndelag county, Norway, known for its fjords, islands, and rural communities.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787291d88190a526fe2461d2a7c6 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.