Triple

T22574834
Position Surface form Disambiguated ID Type / Status
Subject Ostøya E544364 entity
Predicate locatedNear P294 FINISHED
Object Nesøya 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: Nesøya | Statement: [Ostøya, locatedNear, Nesøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nesøya
Context triple: [Ostøya, locatedNear, Nesøya]
  • A. Nesøya chosen
    Nesøya is a small, affluent island in the Oslofjord in Asker, Norway, known for its residential areas, natural surroundings, and proximity to other islands like Brønnøya.
  • 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. Sandsøy
    Sandsøy is a small island settlement in northern Norway known for its coastal scenery and traditional fishing community.
  • D. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • E. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fec296481908a6101b02e5bedaa completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.