Triple
T359772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Border Coalition |
E7822
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | binational public–private partnership |
C1091
|
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: binational public–private partnership Context triple: [Smart Border Coalition, instanceOf, binational public–private partnership]
-
A.
bi-state agency
chosen
A bi-state agency is a governmental or quasi-governmental organization jointly created and governed by two neighboring states to manage shared resources, infrastructure, or regulatory responsibilities across their common jurisdiction.
-
B.
multistakeholder organization
A multistakeholder organization is a collaborative governance structure that brings together diverse actors—such as governments, businesses, civil society, and experts—to jointly make decisions, set standards, or address complex issues of shared concern.
-
C.
intergovernmental organization
An intergovernmental organization is a formal entity created by sovereign states through treaties or agreements to cooperate on common interests, coordinate policies, and address international issues.
-
D.
bilateral relations
Bilateral relations are the political, economic, and diplomatic interactions and agreements that occur directly between two sovereign states.
-
E.
human partnership
A human partnership is a collaborative relationship between two or more people who share goals, responsibilities, and mutual support to achieve common outcomes.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.