Triple
T2467406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selma micropolitan area |
E55283
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Micropolitan Statistical Area |
C11004
|
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 Statistical Area Context triple: [Selma micropolitan area, instanceOf, Micropolitan Statistical 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.
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.
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.
U.S. Census-defined region
A U.S. Census-defined region is a large, multi-state geographic area established by the U.S. Census Bureau to organize, analyze, and report demographic and economic data.
-
E.
metropolitan county
A metropolitan county is an administrative region that encompasses a large urban core and its surrounding suburbs, providing coordinated governance and services across the wider metropolitan area.
- F. None of above. chosen
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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
Created at: March 6, 2026, 9:44 p.m.