Triple
T18384468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micropolitan areas of Ohio |
E446545
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical geographic region category |
C17269
|
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 geographic region category Context triple: [Micropolitan areas of Ohio, instanceOf, statistical geographic region category]
-
A.
statistical geographic areas
chosen
Statistical geographic areas are spatially defined regions created for the collection, analysis, and presentation of data about populations, economies, or environments.
-
B.
geographical region
A geographical region is a defined area of the Earth's surface characterized by shared physical, cultural, political, or environmental features that distinguish it from surrounding areas.
-
C.
census region
A census region is a large geographic area defined by a statistical agency, grouping together multiple states or administrative units for the purpose of organizing, analyzing, and reporting population and economic data.
-
D.
geographical region pairing
A geographical region pairing is a conceptual association between two distinct geographic areas, linked for comparison, analysis, or coordinated planning based on shared or contrasting characteristics.
-
E.
statistical region of the Czech Republic
A statistical region of the Czech Republic is a territorial unit defined primarily for the collection, analysis, and presentation of statistical data, often corresponding to NUTS or similar administrative divisions.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10:45 a.m.