Triple
T8220072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu–Chongqing economic circle |
E192035
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | national-level urban agglomeration |
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: national-level urban agglomeration Context triple: [Chengdu–Chongqing economic circle, instanceOf, national-level urban agglomeration]
-
A.
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.
-
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.
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.
-
D.
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.
-
E.
Metropolitan city
A metropolitan city is a large, densely populated urban area that serves as a central hub for economic, cultural, political, and social activities, often encompassing multiple municipalities and extensive infrastructure.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:45 p.m.