This paper presents a system for word sense disambiguation based on a manually constructed thesaurus of predicate-argument structure, which is an ontology on the linguistic side providing essential information for mapping form texts to verb concepts. This system can be effective for word sense disambiguation even though the target word sense system is different from the thesaurus. We applied the proposed word sense disambiguation system to the test corpus of SemEval-2010 Japanese tasks. Experimental results showed that the thesaurus-based disambiguation system outperformed a CRFs-based system in recall rates of verb sense disambiguation. From the results of verb sense disambiguation, we clarified that the abstracted verb classes (709 types) in our proposed system were effective sets for verb sense disambiguation.