Next comes the supervision and classification phase, and this is where some form of training data is used. The training data can be manually labelled or it can be created through techniques such as distant supervision (whereby an existing database, such as Freebase, is used) and weak supervision (whereby training data is programmatically generated). Un- supervised systems such as Alexandria do not require training data.