Triple
T16504668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varangerbotn |
E400893
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Varangerbotn (Norwegian) |
E400893
|
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: Varangerbotn (Norwegian) | Statement: [Varangerbotn, hasNameInLanguage, Varangerbotn (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varangerbotn (Norwegian) Context triple: [Varangerbotn, hasNameInLanguage, Varangerbotn (Norwegian)]
-
A.
Varangerbotn
chosen
Varangerbotn is a small village in Nesseby Municipality in Troms og Finnmark county, northeastern Norway, known as a key road junction and gateway to the Varanger Peninsula.
-
B.
Kjeldebotn
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
-
C.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Bjerkvik
Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e5100e48190a623d6ee2fefb87e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058305e308190a22cbd03daec53aa |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.