Triple

T19305078
Position Surface form Disambiguated ID Type / Status
Subject Strondafjorden E482803 entity
Predicate hasViewpoint P854 FINISHED
Object Fagernes town area 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: Fagernes town area | Statement: [Strondafjorden, hasViewpoint, Fagernes town area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fagernes town area
Context triple: [Strondafjorden, hasViewpoint, Fagernes town area]
  • A. Fagernes chosen
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • B. Flekkefjord town
    Flekkefjord town is a coastal settlement in southern Norway known for its historic wooden architecture, maritime heritage, and role as a local commercial and cultural hub.
  • C. Hyefjord area
    The Hyefjord area is a small settlement region in the municipality of Gloppen in Vestland county, western Norway, situated near the Hyefjorden and characterized by its rural fjord landscape.
  • D. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • E. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c744908190975c71a28acc96cc completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.