Triple
T15878177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magerøya |
E385002
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Gjesvær |
—
|
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: Gjesvær | Statement: [Magerøya, hasSettlement, Gjesvær]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gjesvær Context triple: [Magerøya, hasSettlement, Gjesvær]
-
A.
Gjesvær
chosen
Gjesvær is a small coastal fishing village in northern Norway known for its rich birdlife and proximity to the North Cape.
-
B.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
C.
Kalvåg
Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
-
D.
Gudvangen
Gudvangen is a small village in western Norway known for its dramatic fjord landscape and role as a popular tourist gateway to the Nærøyfjord.
-
E.
Øystese
Øystese is a village in Vestland county, Norway, known for its scenic fjordside setting and role as a local center within the municipality of Kvam.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
Created at: April 10, 2026, 4:51 a.m.