Triple
T16423415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnmark |
E398878
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object | Magerøya |
—
|
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 | Statement: [Finnmark, containsIsland, Magerøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magerøya Context triple: [Finnmark, containsIsland, Magerøya]
-
A.
Magerøya
chosen
Magerøya is a remote Norwegian island in the Arctic Ocean, best known as the location of the North Cape, a popular tourist destination often considered the northernmost point of mainland Europe accessible by road.
-
B.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
C.
Sørøya
Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
-
D.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
E.
Barøya
Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f911b88190b19de52a1f700af8 |
completed | April 18, 2026, 6:47 a.m. |
Created at: April 10, 2026, 5:09 a.m.