One point to note is that our training procedure is based on finding shortest paths in a complete KB, and we use this same procedure on the incomplete KB setting.
the weak training that we use should, in the incomplete-KB settings, be viewed as a form of weak supervision, with labels that are intermediate in informativeness between pure distant training (with only questionanswer pairs) and gold inference paths (a setting that has been extensively investigated on some of these datasets, in particular WebQuestionsSP).