Recognises a definition too narrow for its concept
A non-essential characteristic excludes things that are instances of the concept.
Can AI do this?
AI does this well Most of the tested AI models master this. 9 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 70% | Not shown |
| 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 | 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: An instance the definition excludes and the characteristic to drop
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: customer: natural person who holds a current account at the bank (excludes legal persons, and persons holding only a savings or loan account) Acceptable: customer: party that holds, or has applied to hold, at least one account with the bank
Also known as: Too narrow (business term)
Related knobits
Builds on
Usually followed by
All 20 knobits of Define business terms.
Source: Review checklist 02-business-terms, row 5