Triple
T32784753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. metropolitan areas |
E838463
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical area type |
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: statistical area type Context triple: [U.S. metropolitan areas, instanceOf, statistical area type]
-
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.
combined statistical area
A combined statistical area is a U.S. geographic region consisting of adjacent metropolitan and/or micropolitan areas that have substantial economic and social integration, as measured by commuting ties.
-
C.
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.
-
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.
U.S. Census Bureau-defined area
A U.S. Census Bureau-defined area is a geographically bounded region delineated by the Census Bureau for the purpose of collecting, analyzing, and publishing standardized demographic and economic data.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:14 a.m.