Triple

T17087456
Position Surface form Disambiguated ID Type / Status
Subject Bjørnafjorden E414634 entity
Predicate hasIsland P970 FINISHED
Object Huftarøy E1129139 NE FINISHED

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: Huftarøy | Statement: [Bjørnafjorden, hasIsland, Huftarøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huftarøy
Context triple: [Bjørnafjorden, hasIsland, Huftarøy]
  • A. Huftarøy chosen
    Huftarøy is the main and largest island of the Austevoll municipality in Vestland county, Norway, known for its coastal landscapes and fishing communities.
  • B. Haramsøya
    Haramsøya is a small Norwegian island in Møre og Romsdal county, known for its coastal scenery, fishing community, and wind farm development.
  • C. Flatey island
    Flatey island is a small, historically significant and picturesque island in western Iceland known for its traditional village, rich birdlife, and role as a former cultural center.
  • D. Halsnøy
    Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
  • E. Viðoy
    Viðoy is one of the northernmost and more sparsely populated islands of the Faroe Islands, known for its dramatic cliffs and rugged coastal scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.