Triple

T16423416
Position Surface form Disambiguated ID Type / Status
Subject Finnmark E398878 entity
Predicate containsIsland P970 FINISHED
Object Sørøya 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: Sørøya | Statement: [Finnmark, containsIsland, Sørøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sørøya
Context triple: [Finnmark, containsIsland, Sørøya]
  • A. Sørøya chosen
    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.
  • B. Børøya
    Børøya is a small Norwegian island in Nordland county that lies near Hadseløya and is part of the Vesterålen archipelago.
  • C. Storøya
    Storøya is an island located in the lake Tyrifjorden in Norway.
  • D. Spjærøy
    Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
  • E. Sydnesøya
    Sydnesøya is a small Norwegian island located within the municipality of Kvinnherad in Vestland county.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f911b88190b19de52a1f700af8 completed April 18, 2026, 6:47 a.m.
Created at: April 10, 2026, 5:09 a.m.