Explains the structure of a data principle
Name, statement, rationale, implications (TOGAF) and what the principle forbids; precedence between principles that can collide.
Can AI do this?
AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 100% | Mastered |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Name, statement, rationale, implications (TOGAF) and what the principle forbids; precedence between principles that can collide.
How it is assessed: Answers a written question on the data principle structure correctly
Related knobits
Needed for
- G-109 Recognises a data principle forbidding nothing
- G-110 Recognises a data principle with no owner
- G-111 Recognises a data principle with no rationale or implications
- G-112 Recognises colliding data principles with no precedence
- G-113 Recognises a standard or technology choice filed as a principle
- G-114 Recognises duplicate data principles
- G-115 Recognises a data principle contradicting a strategy goal
- G-132 Rewrites a value statement as a principle forbidding something
- G-133 Resolves colliding principles by narrowing or precedence
All 25 knobits of Set the data strategy and principles.
Source: Practice the stage 1 reference and review checklist rest on