Triple
T16243733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsanger |
E394315
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lakselv |
—
|
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: Lakselv | Statement: [Porsanger, hasSettlement, Lakselv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakselv Context triple: [Porsanger, hasSettlement, Lakselv]
-
A.
Lakselv
chosen
Lakselv is a small town in northern Norway that serves as an administrative and transport hub in Finnmark, near the Porsangerfjorden and close to the North Cape region.
-
B.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
C.
Lærdal
Lærdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, historic wooden architecture, and the UNESCO-listed Nærøyfjord area nearby.
-
D.
Lakselva
Lakselva is a river in northern Norway known for its rich salmon fishing and scenic Arctic landscapes.
-
E.
Lavangen
Lavangen is a small coastal municipality in Troms og Finnmark county in northern Norway, known for its fjord landscape and rural communities.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560060c8190ace4f4c0bd0d886d |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:04 a.m.