Making rasa nlu to identify similar entities based on trained entities

While Chatito can solve the data generation problem, I still think that the original question stands. Must we provide training data for entity extraction with all the different combinations? Is it possible for some component to just pick up new values? Is it based of the word length? For example, if I have sufficient training data for word burger (6 characters) will mutton at least be recognized without extra training data?