Triple

T20501099
Position Surface form Disambiguated ID Type / Status
Subject Midsund E503304 entity
Predicate locatedOn P40 FINISHED
Object Midøya 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: Midøya | Statement: [Midsund, locatedOn, Midøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midøya
Context triple: [Midsund, locatedOn, Midøya]
  • A. Midøya chosen
    Midøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location between the mainland and the Atlantic.
  • B. Spjærøy
    Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
  • C. 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.
  • D. Flekkerøy
    Flekkerøy is a populated island and coastal community in southern Norway, known for its maritime heritage and proximity to the city of Kristiansand.
  • E. Mosterøy
    Mosterøy is an island in Norway known for its coastal landscape and traditional West Norwegian island community.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc1ea7081908d17c224b1670bd7 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.