Triple

T15751537
Position Surface form Disambiguated ID Type / Status
Subject Andørja E381857 entity
Predicate connectedTo P37 FINISHED
Object Rolløya 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: Rolløya | Statement: [Andørja, connectedTo, Rolløya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolløya
Context triple: [Andørja, connectedTo, Rolløya]
  • A. Rolløya chosen
    Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
  • B. Mosterøy
    Mosterøy is an island in Norway known for its coastal landscape and traditional West Norwegian island community.
  • C. Sollerøya
    Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
  • D. Tromøya
    Tromøya is a large island off Norway’s southern coast, known for its scenic landscapes and proximity to the town of Arendal.
  • E. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 4:47 a.m.