Recognises an attribute with several meanings
An attribute whose meaning, format or unit depends on another attribute's value, or which merges things the business treats as different.
Can AI do this?
AI does this well Most of the tested AI models master this. 10 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 | 100% | Mastered |
| claude-fable-5-1 | Flagship | 100% | 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 | 99% | 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: The attribute and the attribute or value its meaning varies with
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: Party Identifier holding isikukood for persons and registrikood for companies; Instalment Amount meaning the principal portion or the interest portion depending on Portion Type Acceptable: A Party Identifier entity with Identifier Type from a value set, each type with its own format rule; principal portion and interest portion as separate attributes
Also known as: One attribute, several meanings (logical model)
Related knobits
Builds on
Needed for
- K-629 Recognises a sentinel value standing in for null
- K-630 Recognises a null with a business meaning
All 56 knobits of Derive the logical data model.
Source: Review checklist 05-logical, row 6; S&W 5.3.4