Triple
T3781504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico, Maine micropolitan area |
E85427
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | micropolitan area |
C10990
|
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: micropolitan area Context triple: [Mexico, Maine micropolitan area, instanceOf, micropolitan area]
-
A.
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.
-
B.
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.
-
C.
metropolitan district
A metropolitan district is an administrative or governmental region that encompasses a central city and its surrounding urban and suburban areas, managed as a single integrated unit for planning, services, and governance.
-
D.
United States micropolitan area
chosen
A United States micropolitan 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.
-
E.
regional city
A regional city is a mid-sized urban center that serves as an administrative, economic, and cultural hub for its surrounding geographic area, typically outside a nation's primary metropolitan regions.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:13 p.m.