Languages don't have bijective mappings of concepts, so this is a hard problem. Do you have an ontology you'd like to propose?
There's a fair amount of debate over that property. Are those current high level types (person, place, work, event, organization, term) a good fit for a knowledgebase that aims to structure all knowledge and not just library holdings? Does classifying subjects like inertia, DNA, Alzheimer's disease, dog, etc. as simply "terms" make sense?
More reading related to Wikidata, ontology and types: https://blog.wikimedia.de/2013/02/22/restricting-the-world/.
This is also just one aspect of Wikidata. The centrality of shared table content is important, too. Why have data in a specific language version Wikipedia and point to it from other versions when you can have a central repository that is pointed to using templates from each language version?
There's a strong correspondence between "tabular data" (you probably mean relational) and triples (<predicate,X,Y>). Bot are based on the first-order predicate logic, so there's actually a natural mapping.