Triple

T2983647
Position Surface form Disambiguated ID Type / Status
Subject Hinnøya E80568 entity
Predicate hasSettlement P1068 FINISHED
Object Kvæfjord E322907 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: Kvæfjord | Statement: [Hinnøya, hasSettlement, Kvæfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvæfjord
Context triple: [Hinnøya, hasSettlement, Kvæfjord]
  • A. Kvæfjord chosen
    Kvæfjord is a coastal municipality in Troms og Finnmark county in northern Norway, known for its scenic fjord landscapes and as the birthplace of the traditional cake "Kvæfjordkake."
  • B. Rekefjord
    Rekefjord is a coastal fjord and harbor area in Rogaland county, southwestern Norway, known for its maritime setting and proximity to the village of Sokndal.
  • C. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • D. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • E. Eresfjord
    Eresfjord is a small village in Møre og Romsdal county in western Norway, situated at the end of the Eresfjorden and surrounded by steep mountains and scenic fjord landscapes.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224ad6c30819086a9df7fc7c51ed8 completed March 12, 2026, 2:27 a.m.
Created at: March 8, 2026, 2:58 p.m.