Triple
T19198299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lensvik |
E470029
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Fosen |
—
|
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: Fosen | Statement: [Lensvik, hasRegion, Fosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fosen Context triple: [Lensvik, hasRegion, Fosen]
-
A.
Fosen
chosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
-
B.
Fosen
Fosen is an island located in Boknafjorden in Rogaland county, Norway.
-
C.
Fosen region
The Fosen region is a coastal area in Trøndelag, Norway, known for its rugged landscapes, fishing communities, and large-scale wind power developments.
-
D.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
E.
Fjærland
Fjærland is a picturesque village in Vestland county, Norway, known for its dramatic fjord landscape, nearby Jostedalsbreen glacier, and its status as Norway’s “Book Town” with numerous second-hand bookshops.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
Created at: April 10, 2026, 12:07 p.m.