Triple

T21450617
Position Surface form Disambiguated ID Type / Status
Subject Nes E529196 entity
Predicate partOf P40 FINISHED
Object Nes 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: Nes Municipality | Statement: [Nes, partOf, Nes Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nes Municipality
Context triple: [Nes, partOf, Nes Municipality]
  • A. Nes municipality chosen
    Nes municipality is a local government area in southeastern Norway, known for its rural landscapes and location along the Glomma and Vorma rivers in Viken county.
  • B. 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.
  • C. Tysnes Municipality
    Tysnes Municipality is a coastal municipality in western Norway known for its island landscapes, fjords, and traditional rural communities.
  • D. Vik Municipality
    Vik Municipality is a local government area in western Norway known for its fjord landscapes, historic stave church, and rural communities.
  • E. Etne Municipality
    Etne Municipality is a rural coastal municipality in western Norway known for its fjords, mountains, and traditional farming and fishing 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d281c0819080c3f8a58947a115 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.