They can be used in different ways, e.g. (i) as features in a link prediction system (e.g.<cite> (Gardner et al., 2014)</cite> ), (ii) to fill in larger portions of the graph by producing, rather than finding, groundings of the path for specific instances. In the work presented here we test the abstract paths through the link prediction task, so we will try to ground abstract paths for relation instances in the training and test data.