Triple

T17088543
Position Surface form Disambiguated ID Type / Status
Subject Rebbenesøya E414662 entity
Predicate hasNearbyIsland P970 FINISHED
Object Reinøya NE NERFINISHED

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: Reinøya | Statement: [Rebbenesøya, hasNearbyIsland, Reinøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinøya
Context triple: [Rebbenesøya, hasNearbyIsland, Reinøya]
  • A. Reinøya chosen
    Reinøya is an island located within Porsangerfjorden in Troms og Finnmark county in northern Norway.
  • B. Rebbenesøya
    Rebbenesøya is a coastal island in northern Norway, located in Troms county and known for its rugged landscapes, fishing communities, and Arctic maritime environment.
  • C. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • D. Valderøya
    Valderøya is a village in Møre og Romsdal county, Norway, serving as the main settlement and hub of local services for the island municipality of Giske.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.