Triple
T15557311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad Cities (Iowa portion) |
E370903
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | metropolitan area segment |
C28946
|
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 area segment Context triple: [Quad Cities (Iowa portion), instanceOf, metropolitan area segment]
-
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.
subregion of metropolitan area
chosen
A subregion of a metropolitan area is a geographically or functionally distinct part of a larger urban region, characterized by shared land use, demographics, infrastructure, or economic activity.
-
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.
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.
-
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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:09 a.m.