Triple
T16027180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremanger |
E388745
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Svelgen |
E1189202
|
NE FINISHED |
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: Svelgen | Statement: [Bremanger, hasSettlement, Svelgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svelgen Context triple: [Bremanger, hasSettlement, Svelgen]
-
A.
Svelgen
chosen
Svelgen is a small village in Vestland county, Norway, known as an industrial community and local hub at the mouth of the Svelgselva river.
-
B.
Sveg
Sveg is a small town in central Sweden known as an administrative and service hub in the sparsely populated province of Härjedalen.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Veidnes
Veidnes is a small coastal village located in the municipality of Lebesby in northern Norway.
-
E.
Guttannen
Guttannen is a small Swiss mountain municipality in the Bernese Oberland, known for its alpine landscapes and location along the upper Aare River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.