Triple

T10428575
Position Surface form Disambiguated ID Type / Status
Subject municipality of Hvaler E245848 entity
Predicate hasPart P35 FINISHED
Object Vesterøy E670529 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: Vesterøy | Statement: [municipality of Hvaler, hasPart, Vesterøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesterøy
Context triple: [municipality of Hvaler, hasPart, Vesterøy]
  • A. Vesterøy chosen
    Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
  • B. Skjervøy
    Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
  • C. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • D. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • E. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94afc8ef0819093791447d3c3c018 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:13 p.m.