Triple

T21303171
Position Surface form Disambiguated ID Type / Status
Subject Bjugn E525119 entity
Predicate isPartOf P10 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: [Bjugn, isPartOf, Fosen region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosen region
Context triple: [Bjugn, isPartOf, 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385da340819083c07f353f2142b0 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.