Triple
T36780124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black AI cooperatives |
E908744
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence governance model |
C65382
|
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: artificial intelligence governance model Context triple: [Black AI cooperatives, instanceOf, artificial intelligence governance model]
-
A.
corporate governance model
A corporate governance model is a conceptual framework that defines the structures, processes, and relationships through which a corporation is directed, controlled, and held accountable to its stakeholders.
-
B.
universal artificial intelligence model
A universal artificial intelligence model is a generalized computational system capable, in principle, of learning and performing any intellectual task that any other AI or human can, given sufficient data and resources.
-
C.
artificial intelligence framework
An artificial intelligence framework is a structured software environment that provides tools, libraries, and interfaces to design, train, deploy, and manage AI and machine learning models efficiently.
-
D.
governance entity
A governance entity is an individual, group, or organization with the authority and responsibility to establish, oversee, and enforce rules, policies, and decisions within a defined domain.
-
E.
governance discipline
Governance discipline is the structured set of principles, processes, and practices used to direct, control, and hold an organization accountable in achieving its objectives and managing risks.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.