Triple

T15363544
Position Surface form Disambiguated ID Type / Status
Subject Nordkapphallen E367349 entity
Predicate locatedIn P40 FINISHED
Object Magerøya 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: Magerøya island | Statement: [Nordkapphallen, locatedIn, Magerøya island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magerøya island
Context triple: [Nordkapphallen, locatedIn, Magerøya island]
  • A. Magerøya island chosen
    Magerøya island is a remote Arctic island in northern Norway best known for hosting the North Cape, one of Europe’s northernmost accessible points and a popular tourist destination.
  • 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. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • D. 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.
  • E. Austvågøya island
    Austvågøya island is a large, mountainous island in Norway’s Lofoten archipelago, known for its dramatic coastal scenery, fishing villages, and popular outdoor tourism.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e479f188190bbbc3dcd73853e02 completed April 16, 2026, 1:41 a.m.
Created at: April 10, 2026, 3:18 a.m.