Triple
T11109789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Paso–Juárez metropolitan area |
E262724
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cross-border urban agglomeration |
C7343
|
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: cross-border urban agglomeration Context triple: [El Paso–Juárez metropolitan area, instanceOf, cross-border urban agglomeration]
-
A.
cross-border area
chosen
A cross-border area is a geographic region that spans across the boundaries of two or more countries, where social, economic, environmental, and political interactions occur and are often managed through cooperative arrangements.
-
B.
cross-border institution
A cross-border institution is an organization or entity that operates across national boundaries, coordinating policies, activities, or services between multiple countries or jurisdictions.
-
C.
international border community
An international border community is a settlement or region located along the boundary between two or more countries, where daily life, economy, and culture are shaped by cross-border interactions, regulations, and identities.
-
D.
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.
-
E.
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.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:27 p.m.