Triple

T17088080
Position Surface form Disambiguated ID Type / Status
Subject Skudeneshavn E414652 entity
Predicate locatedOn P40 FINISHED
Object Karmøy island 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: Karmøy island | Statement: [Skudeneshavn, locatedOn, Karmøy island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmøy island
Context triple: [Skudeneshavn, locatedOn, Karmøy island]
  • A. Karmøy island chosen
    Karmøy island is a large island in Rogaland county, southwestern Norway, known for its fishing communities, coastal landscapes, and Viking-age historical sites.
  • B. Storøya island
    Storøya island is a small, remote Arctic island in the Svalbard archipelago of Norway, known for its polar wildlife and harsh, icy environment.
  • C. Askøy island
    Askøy island is a large Norwegian island in Vestland county, known for its coastal landscapes and proximity to the city of Bergen.
  • D. Skjervøya island
    Skjervøya island is a small coastal island in northern Norway known for hosting the fishing village of Skjervøy and serving as a base for Arctic maritime activities.
  • E. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.