Triple
T20707641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dovrebanen |
E508945
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dovre |
E442846
|
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: Dovre | Statement: [Dovrebanen, namedAfter, Dovre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dovre Context triple: [Dovrebanen, namedAfter, Dovre]
-
A.
Dovre
chosen
Dovre is a mountainous municipality in Innlandet county, Norway, known for its rugged landscapes and proximity to Dovrefjell National Park.
-
B.
Trysil
Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
-
C.
Bangdalen
Bangdalen is a small rural settlement located within Namsos municipality in Trøndelag county, Norway.
-
D.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
-
E.
Nordreisa
Nordreisa is a municipality in Troms og Finnmark county in northern Norway, known for its deep Reisa Valley, Reisa National Park, and dramatic waterfalls and river landscapes.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eec761288190903bf3d4f02908f2 |
completed | May 17, 2026, 4:37 p.m. |
Created at: April 16, 2026, 12:14 p.m.