Triple

T16065679
Position Surface form Disambiguated ID Type / Status
Subject Trondenes E389724 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: [Trondenes, locatedOn, Hinnøya island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinnøya island
Context triple: [Trondenes, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
Created at: April 10, 2026, 4:57 a.m.