Triple

T18339532
Position Surface form Disambiguated ID Type / Status
Subject Harstad municipality E439363 entity
Predicate locatedOn P40 FINISHED
Object Hinnøya 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: Hinnøya island | Statement: [Harstad municipality, locatedOn, Hinnøya island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinnøya island
Context triple: [Harstad municipality, locatedOn, Hinnøya island]
  • A. Hinnøya chosen
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • 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. Tromsøya island
    Tromsøya island is a Norwegian island in Troms og Finnmark county that hosts the city center of Tromsø and is known for its Arctic location and vibrant cultural life.
  • D. Eigerøy island
    Eigerøy island is a coastal island in southwestern Norway known for its rugged landscape, fishing communities, and proximity to the town of Egersund.
  • E. Vestvågøya island
    Vestvågøya island is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.