Triple
T14945309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illinois metropolitan areas |
E372641
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | metropolitan statistical area grouping |
C19581
|
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: metropolitan statistical area grouping Context triple: [Illinois metropolitan areas, instanceOf, metropolitan statistical area grouping]
-
A.
Micropolitan Statistical Area
A Micropolitan Statistical Area is a geographic region defined by the U.S. Office of Management and Budget centered around an urban core with a population between 10,000 and 49,999, plus adjacent territories with strong social and economic integration.
-
B.
group of metropolitan areas
A group of metropolitan areas is a collection of neighboring or related large urban regions that are considered together for purposes such as planning, analysis, or administration.
-
C.
statistical geographic areas
Statistical geographic areas are spatially defined regions created for the collection, analysis, and presentation of data about populations, economies, or environments.
-
D.
U.S. federal statistical area
chosen
A U.S. federal statistical area is a geographic region defined by the federal government, typically based on population density and economic ties, used for collecting, analyzing, and publishing statistical data.
-
E.
metropolitan area
A metropolitan area is a densely populated urban region consisting of a central city and its surrounding suburbs and satellite communities, linked by economic, social, and infrastructural ties.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:39 a.m.