We describe an implemented system that anticipates user instructions in a collaborative construction task in virtual reality. The functionality of the system is embodied by an anthropomorphic interface agent and enables the usage of functional names for pieces of an uncompleted target aggregate in natural language instructions. Based on an internal model of the construction state and salience ratings for aggregate parts, an anticipatory system behaviour is achieved that tolerates imprecise user instructions.