Skilirium

Recognises a definition too narrow for its concept

M-305 · Skill knobit · Activity: Define business terms in the glossary · Competence: Metadata management

A non-essential characteristic excludes things that are instances of the concept.

Can AI do this?

People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.

ModelTierProbability of masteryStatus
gemini-4-argonFlagship 97%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-liteLow cost 9%Not shown
gpt-6-lunaLow cost 51%Not shown
claude-haiku-5-5Low cost 10%Not shown

* From the earlier benchmark of 2026-10: 10 data-modelling test tasks, 3 runs per task, graded by claude-opus-5-5. These models have not taken the current 123 tasks yet; the two methods differ, so compare their figures with care. They are left out of the “most models” counts and the best-model picks.

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 18 knobits of Define business terms in the glossary.

Source: Review checklist 03-business-glossary (metadata-management), row 5; formerly data-modelling K-205