This article presents a method of classification of the Wikipedia articles into the taxonomy of OpenCyc. This method utilises several sources of the classification information, namely the Wikipedia category system, the infoboxes attached to the articles, the first sentences of the articles, treated as their definitions and the direct mapping between the articles and the Cyc symbols. The classification decision made using these methods are accommodated using the Cyc built-in inconsistency detection mechanism. The combination of the best classification methods yields 1,47 millions of classified articles and has a manually verified precision above 97%, while the combination of all of them yields 2.2 millions of articles with estimated precision of 93%.