Triple

T16027232
Position Surface form Disambiguated ID Type / Status
Subject Vågsøy E388746 entity
Predicate locatedIn P40 FINISHED
Object Kinn Municipality 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: Kinn Municipality | Statement: [Vågsøy, locatedIn, Kinn Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinn Municipality
Context triple: [Vågsøy, locatedIn, Kinn Municipality]
  • A. Kinn Municipality chosen
    Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
  • B. Valdemarsvik Municipality
    Valdemarsvik Municipality is a local government area in southeastern Sweden known for its coastal landscapes along the Baltic Sea and its location within Östergötland County.
  • C. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • D. Nesna Municipality
    Nesna Municipality is a small coastal municipality in Nordland county, Norway, known for its island-dotted coastline and location along the Helgeland coast.
  • E. Vik Municipality
    Vik Municipality is a local government area in western Norway known for its fjord landscapes, historic stave church, 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:56 a.m.