Triple
T17731891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsos municipality |
E442605
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Otterøya |
—
|
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: Otterøya | Statement: [Namsos municipality, hasIsland, Otterøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otterøya Context triple: [Namsos municipality, hasIsland, Otterøya]
-
A.
Otterøya
chosen
Otterøya is an island and settlement area in Trøndelag county, Norway, known for its coastal landscape and connection to the town of Namsos.
-
B.
Otterøya
Otterøya is an island located within Bømlo Municipality in Vestland county on Norway’s western coast.
-
C.
Otrøya
Otrøya is a large island in Møre og Romsdal county, Norway, known for its coastal landscapes and rural communities.
-
D.
Edgeøya
Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
-
E.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e7773081909dadb90ff5cb0906 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.