Triple

T18126136
Position Surface form Disambiguated ID Type / Status
Subject Tysfjord municipality E433879 entity
Predicate hasSettlement P1068 FINISHED
Object Storå 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: Storå | Statement: [Tysfjord municipality, hasSettlement, Storå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storå
Context triple: [Tysfjord municipality, hasSettlement, Storå]
  • A. Storå chosen
    Storå is a small coastal settlement located on the shores of the fjord in the former municipality of Tysfjord in Nordland county, Norway.
  • B. Storå
    Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
  • C. Stenåsa
    Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
  • D. Bålsta
    Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
  • E. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddee1efc8190b04324b98de5c9d0 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.