Skilirium

Recognises one relationship stated as two fact types

Q-208 · Skill knobit · Activity: Document data rules in SBVR · Competence: Data quality

Two fact types state the same relationship under different names, so the rules about it split into two groups nobody compares.

Can AI do this?

People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.

ModelTierProbability of masteryStatus
gemini-4-argonFlagship 79%Not shown
gemini-3.1-pro-preview*Flagship 100%Mastered
gpt-6-astra*Flagship 100%Mastered
claude-fable-5-1*Flagship 83%Not shown
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 51%Not shown
gpt-6-lunaLow cost 78%Not shown
claude-haiku-5-5Low cost 79%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: The fact types to merge

How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: FT-1: Account has ledger balance (is-property-of) and FT-5: Account has ledger balance (associative) Acceptable: One fact type with one kind; the kind decides whether it becomes an attribute or a relationship (FCT-008)

Also known as: Same term, two fact types (data rule)

Related knobits

Builds on

All 23 knobits of Document data rules in SBVR.

Source: Review checklist 02-data-rules (data-quality), row 8; formerly data-modelling K-308