Triple

T16242775
Position Surface form Disambiguated ID Type / Status
Subject Bjørnafjorden Municipality E394294 entity
Predicate containsIsland P970 FINISHED
Object Tysnesøy 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: Tysnesøy | Statement: [Bjørnafjorden Municipality, containsIsland, Tysnesøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tysnesøy
Context triple: [Bjørnafjorden Municipality, containsIsland, Tysnesøy]
  • A. Tysnesøya chosen
    Tysnesøya is a large island in western Norway known for its scenic coastal landscapes and location within the municipality of Tysnes.
  • B. 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.
  • C. Sollerøya
    Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
  • D. Varaldsøy
    Varaldsøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and rural communities within the municipality of Kvinnherad.
  • E. Dillingøy
    Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:04 a.m.