We suggest an approach to the resolution of context-dependent lexical and syntactic ambiguity in a framework of ontology population from natural language texts. We show that a set of maximally determined ontology instances can be represented as a Scott information system with an entailment relation as a collection of information connections. Moreover, consistent primary lexical instances form FCA-concepts. These representations are used to justify the correctness of lexical disambiguation and to define syntactic ambiguity and its resolution. This information system generates a multi-agent system in which agents resolve the ambiguity of both types.