Triple
T16684706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E8 |
E405429
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Nordkjosbotn |
—
|
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: Nordkjosbotn | Statement: [European route E8, passesThrough, Nordkjosbotn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordkjosbotn Context triple: [European route E8, passesThrough, Nordkjosbotn]
-
A.
Nordkjosbotn
chosen
Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
-
B.
Kjeldebotn
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
-
C.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
-
D.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
E.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
Created at: April 10, 2026, 5:19 a.m.