We have presented a simple algorithm to noun phrases interpretation based on hand-crafted knowledge-base containing detailed semantic information.The main idea is to define a set of relations that can hold between the words and use a semantic lexicon including semantic classifications and collocation features to automatically assign relations to noun phrases.We divide the NPs into two kinds of types: NPs with one verb or non-consecutive verbs and NPs with consecutive verbs,and design two different labeling methods according to their syntactic and semantic features.For the first kind of NPs we report high precision,recall and F-score on a dataset with nine semantic relations,and for the second type the results are also promising on a dataset with four relations.We create a valuable manually-annotated resource for noun phrases interpretation,which we make publicly available with the hope to inspire further research in noun phrases interpretation.