This working note presents a statistical based classifier for text classification using entity relationship information present in the input text. We observed that parts-of-speech tags and named entities information will help us to predict the relationship between entities. We also presented the procedure for predicting POS tags and named entities, which we considered as the sources of information for entity relationship. These features (POS tags, NE) along with the words, in input text sentence, are used as input features to classify the given input into any one of the predefined relationship class. It also presents the experimental details and performance results of this classifier on five Indian language datasets such as hindi, kannada, malayalam, tamil and telugu.