Triple
T17846536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsfjorden |
E445676
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Salangen |
—
|
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: Salangen | Statement: [Vågsfjorden, adjacentTo, Salangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salangen Context triple: [Vågsfjorden, adjacentTo, Salangen]
-
A.
Salangen
chosen
Salangen is a coastal municipality in Troms county in northern Norway, known for its fjords, fishing traditions, and the administrative center village of Sjøvegan.
-
B.
Lyngen
Lyngen is a municipality in Troms og Finnmark county in northern Norway, known for its dramatic fjord landscapes and surrounding alpine mountains.
-
C.
Langenes
Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
D.
Lavangen
Lavangen is a small coastal municipality in Troms og Finnmark county in northern Norway, known for its fjord landscape and rural communities.
-
E.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.