Triple

T15617369
Position Surface form Disambiguated ID Type / Status
Subject Nørvøya E375450 entity
Predicate locatedNear P294 FINISHED
Object Aspøya E370858 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: Aspøya | Statement: [Nørvøya, locatedNear, Aspøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspøya
Context triple: [Nørvøya, locatedNear, Aspøya]
  • A. Aspøya chosen
    Aspøya is a small island in western Norway that forms part of the urban area of the coastal city of Ålesund.
  • B. Sørøya
    Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
  • C. Edgeøya
    Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
  • D. Midøya
    Midøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location between the mainland and the Atlantic.
  • E. Spjærøy
    Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05323c0fd88190aa7a3b963b9b8c3a completed May 14, 2026, 2:23 a.m.
Created at: April 10, 2026, 4:13 a.m.