Recognises a redundant relationship
Two paths between the same entities state the same fact, so they can disagree.
Can AI do this?
AI does this well Most of the tested AI models master this. 8 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 100% | Mastered |
| gpt-6-astra | Flagship | 84% | Not shown |
| claude-fable-5-1 | Flagship | 99% | Mastered |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 100% | Mastered |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 34% | Not shown |
| 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: The two paths that state the same fact
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: Payment → Account → Party (account holder), plus a direct Payment → Party meaning the same person Acceptable: Remove the direct relationship; keep it only if it means something else (the counterparty who instructed the payment, who need not be the account holder), named so and with its own rule
Also known as: Redundant relationship (logical model)
Related knobits
Builds on
- K-567 Explains relationship cardinality and optionality
- K-565 Explains derived data and point-in-time snapshots
All 56 knobits of Derive the logical data model.
Source: Review checklist 05-logical, row 26; C&B