The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a set of entities extracted from text and by relations between them. During the learning phase we index documents using the entities they contain. In the answering phase we exploit the index previously built in order to focus the search for the answer to just the most relevant documents. As answers to a question we select from these documents the paragraphs containing entities most similar to those in the question. PISAB has been submitted to the TREC-9 Conference, achieving encouraging results despite it current prototypical development stage.