[nojonestownpls]

RE your first question, one of their answers from product hunt may be useful:

> Q: Is this supposed to be open source version of Google's knowledge graph?

> A: At their essence, KGs are based on semantic relationships, e.g. coffee is a beverage, apple and banana are fruit, diabetes is a disease, etc. System is based on statistical relationships (collected and synthesized from data, models, and papers): A predicts B, C is caused by D, E and F are highly correlated, G and H change together, etc. [...] We hope these will be complementary ways of understanding the world -- one based on language, the other based on statistics.

I think internal contradictions are more of an issue for a Knowledge Graph, which try to infer things and have to make conclusions based on possibly contradictory evidence. System just tries to present the available connecting evidence without making object level conclusions itself.