Triple

T11639736
Position Surface form Disambiguated ID Type / Status
Subject Tromsø Municipality E276627 entity
Predicate hasIsland P970 FINISHED
Object Ringvassøya (partly) E413549 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: Ringvassøya (partly) | Statement: [Tromsø Municipality, hasIsland, Ringvassøya (partly)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringvassøya (partly)
Context triple: [Tromsø Municipality, hasIsland, Ringvassøya (partly)]
  • A. Ringvassøya chosen
    Ringvassøya is a large island in northern Norway known for its rugged Arctic landscapes, fishing communities, and proximity to Tromsø.
  • B. Sollerøya
    Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
  • C. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • D. Vesterøy
    Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
  • E. Vågsøy
    Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.