Triple

T17088104
Position Surface form Disambiguated ID Type / Status
Subject Skudeneshavn E414652 entity
Predicate partOf P40 FINISHED
Object Karmøy archipelago NE NERFINISHED

How this triple was built (3 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 archipelago | Statement: [Skudeneshavn, partOf, Karmøy archipelago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmøy archipelago
Context triple: [Skudeneshavn, partOf, Karmøy archipelago]
  • A. Askøy archipelago
    Askøy archipelago is a cluster of islands in Vestland county, Norway, centered around the main island of Askøy just northwest of the city of Bergen.
  • B. Kristiansund archipelago
    The Kristiansund archipelago is a coastal cluster of islands in western Norway known for its historic fishing communities, maritime heritage, and scenic North Atlantic landscapes.
  • C. Kragerø archipelago
    The Kragerø archipelago is a scenic coastal island group in southern Norway known for its rugged skerries, summer cabins, and boating and holiday tourism.
  • D. Rennesøy island group
    The Rennesøy island group is a cluster of islands in Rogaland county, southwestern Norway, known for its coastal landscapes, farming communities, and proximity to the city of Stavanger.
  • E. Tvedestrand archipelago
    The Tvedestrand archipelago is a coastal cluster of small islands and skerries off the town of Tvedestrand in southern Norway, known for its scenic landscapes, boating, and summer recreation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karmøy archipelago
Target entity description: The Karmøy archipelago is a group of islands off Norway’s southwestern coast known for its maritime heritage, fishing communities, and scenic coastal landscapes.
  • A. Askøy archipelago
    Askøy archipelago is a cluster of islands in Vestland county, Norway, centered around the main island of Askøy just northwest of the city of Bergen.
  • B. Kristiansund archipelago
    The Kristiansund archipelago is a coastal cluster of islands in western Norway known for its historic fishing communities, maritime heritage, and scenic North Atlantic landscapes.
  • C. Kragerø archipelago
    The Kragerø archipelago is a scenic coastal island group in southern Norway known for its rugged skerries, summer cabins, and boating and holiday tourism.
  • D. Rennesøy island group
    The Rennesøy island group is a cluster of islands in Rogaland county, southwestern Norway, known for its coastal landscapes, farming communities, and proximity to the city of Stavanger.
  • E. Tvedestrand archipelago
    The Tvedestrand archipelago is a coastal cluster of small islands and skerries off the town of Tvedestrand in southern Norway, known for its scenic landscapes, boating, and summer recreation.
  • F. None of above. chosen

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.