Triple
T17472470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tysnes Municipality |
E425453
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Tysnesøya |
—
|
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: Tysnesøya | Statement: [Tysnes Municipality, hasIsland, Tysnesøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tysnesøya Context triple: [Tysnes Municipality, hasIsland, Tysnesøya]
-
A.
Tysnesøya
chosen
Tysnesøya is a large island in western Norway known for its scenic coastal landscapes and location within the municipality of Tysnes.
-
B.
Sydnesøya
Sydnesøya is a small Norwegian island located within the municipality of Kvinnherad in Vestland county.
-
C.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
D.
Tjeldsundøya
Tjeldsundøya is a large island in northern Norway known for its rugged coastal landscape and its location along the Tjeldsundet strait between the mainland and the islands of Lofoten and Vesterålen.
-
E.
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.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b8a51081908d94bebe2417e3d3 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.