Triple

T2983649
Position Surface form Disambiguated ID Type / Status
Subject Hinnøya E80568 entity
Predicate region P40 FINISHED
Object Vesterålen E80150 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: Vesterålen | Statement: [Hinnøya, region, Vesterålen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesterålen
Context triple: [Hinnøya, region, Vesterålen]
  • A. Vesterålen chosen
    Vesterålen is a scenic archipelago in northern Norway known for its dramatic coastal landscapes, rich fishing traditions, and excellent whale-watching opportunities.
  • B. Lofoten
    Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
  • C. Tjeldøya
    Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
  • D. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • E. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • 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_69b324da09888190b3ea7763d3a09d5d completed March 12, 2026, 8:40 p.m.
Created at: March 8, 2026, 2:58 p.m.