Triple
T20459249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DE40 (Brandenburg) |
E501879
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical region of the European Union |
C28788
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: statistical region of the European Union Context triple: [DE40 (Brandenburg), instanceOf, statistical region of the European Union]
-
A.
outermost region of the European Union
The outermost region of the European Union is a geographically distant territory that is fully part of an EU member state and the EU itself, but benefits from specific measures to address its remoteness, insularity, and economic and social challenges.
-
B.
NUTS2 region
chosen
A NUTS2 region is a mid-level territorial unit within the Nomenclature of Territorial Units for Statistics used by the European Union for regional statistics, socio-economic analysis, and policy implementation.
-
C.
region of Europe
A region of Europe is a geographically or culturally defined area within the European continent that shares common physical, historical, political, or socio-economic characteristics distinguishing it from other areas.
-
D.
eurodistrict
A eurodistrict is a cross-border administrative and cooperation entity formed by neighboring local authorities from different European countries to coordinate services, planning, and development in a shared transnational region.
-
E.
NUTS-1 region
A NUTS-1 region is a large, first-level territorial unit used by the European Union for statistical, economic, and regional policy analysis.
- F. None of above.
Provenance (1 batch)
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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:33 a.m.