This paper discusses experiments on automatic extraction, classification and semantic labelling of prepositional phrases in a Russian text corpus. Semantic description of prepositional phrases used in our study is based on G.A. Zolotova's simplified classification of minimal language entities. We present the experimental setup, explain the procedure of the training dataset development, describe the labelling techniques, and provide analysis of results. Our research shows that although semantic differences between some prepositional semantic classes are quite vague, it is possible to achieve promising classification results for core classes.