Determine applied rules when using a classifier for prediction in Weka

Question

I can build a classification model in Weka (JRip, J48, etc.) and run it to predict classes for a test set.

Is there a way to explain each prediction instance (either in Explorer or via coding)? In other words, I need to determine which rule/tree branch has been employed to predict the class for each instance in my test set.