Triple
T15882061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borderplex region |
E385096
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | binational metropolitan region |
C21197
|
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: binational metropolitan region Context triple: [Borderplex region, instanceOf, binational metropolitan region]
-
A.
capital city region
A capital city region is the geographic area encompassing a nation's primary seat of government and its surrounding urban and suburban zones that are functionally integrated with the capital.
-
B.
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.
-
C.
metropolitan province
A metropolitan province is a large administrative region that encompasses a major city and its surrounding urban and suburban areas, functioning as a unified political and economic unit.
-
D.
group of metropolitan areas
chosen
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.
-
E.
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.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:51 a.m.