Triple
T19440053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsenfjorden |
E486325
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Namsos |
—
|
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: Namsos | Statement: [Namsenfjorden, near, Namsos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namsos Context triple: [Namsenfjorden, near, Namsos]
-
A.
Namsos
chosen
Namsos is a coastal town and municipality in central Norway known for its timber industry, fjord-side location, and role as a regional service center in Trøndelag.
-
B.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
C.
Rock City Namsos
Rock City Namsos is a Norwegian national experience and competence center dedicated to rock music, featuring interactive exhibits, education, and events that celebrate the country’s rock heritage.
-
D.
Kautokeino
Kautokeino is a large, sparsely populated municipality in Norway’s Finnmark region, known as a cultural center of the Sámi people and reindeer herding.
-
E.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63364371081908e899c2a47af4e5d |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.