Triple
T16552380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUTS classification |
E402103
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical territorial classification system |
C34961
|
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 territorial classification system Context triple: [NUTS classification, instanceOf, statistical territorial classification system]
-
A.
statistical geographic areas
Statistical geographic areas are spatially defined regions created for the collection, analysis, and presentation of data about populations, economies, or environments.
-
B.
territorial designation
A territorial designation is a formal label or title that identifies and defines a specific geographic area or jurisdiction for political, administrative, or legal purposes.
-
C.
ecoregion classification system
An ecoregion classification system is a structured framework that categorizes geographic areas into distinct ecological regions based on shared environmental conditions, ecosystems, and biodiversity patterns.
-
D.
territorial relationship
A territorial relationship is a conceptual association that defines how entities claim, control, share, or interact within a specific geographic or spatial area.
-
E.
territorial land apportionment register
chosen
A territorial land apportionment register is an official, systematically organized record that defines and catalogs the division of a country’s territory into administrative and statistical units for governance, planning, and data management purposes.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
Created at: April 10, 2026, 5:15 a.m.