Triple

T13398197
Position Surface form Disambiguated ID Type / Status
Subject Moskenesøya E319755 entity
Predicate hasVillage P4011 FINISHED
Object Hamnøy E1055955 NE FINISHED

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: Hamnøy | Statement: [Moskenesøya, hasVillage, Hamnøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamnøy
Context triple: [Moskenesøya, hasVillage, Hamnøy]
  • A. Hamnøy chosen
    Hamnøy is a picturesque fishing village and island in Norway’s Lofoten archipelago, renowned for its dramatic mountain scenery and iconic red rorbuer cabins.
  • B. Spjærøy
    Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
  • C. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • D. Andøy
    Andøy is a municipality and island area in Nordland county, Norway, known for its Arctic landscapes, fishing communities, and whale-watching opportunities.
  • E. Flekkerøy
    Flekkerøy is a populated island and coastal community in southern Norway, known for its maritime heritage and proximity to the city of Kristiansand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e2991c81908f474fe07a6ba10a completed May 8, 2026, 10:34 p.m.
Created at: April 9, 2026, 9:34 p.m.