Triple
T19220437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Våler municipality (Innlandet) |
E480597
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Glåmdalen region |
—
|
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: Glåmdalen region | Statement: [Våler municipality (Innlandet), locatedIn, Glåmdalen region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glåmdalen region Context triple: [Våler municipality (Innlandet), locatedIn, Glåmdalen region]
-
A.
Glåmdalen
chosen
Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
-
B.
Lyngen region
The Lyngen region is a scenic area in Troms, northern Norway, known for its dramatic fjords, alpine peaks, and popular outdoor activities like skiing and hiking.
-
C.
Hallingdal
Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
-
D.
Glåmdal district
Glåmdal district is a traditional region in Innlandet county, Norway, centered around the Glomma River and comprising several municipalities including Sør-Odal.
-
E.
Dovre region
The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3e8d488190a93fb743dabd0ffb |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:24 p.m.