The first step of constructing our training examples is to cluster concepts in the KBs by the cross reference attributes and also extract all pairs of concepts that have "has participant" relations.
if two concepts in different KBs are determined to be the same, we can assume that one is the "gold label" for the other, and extract textual and relational features between them, making this pair an approximation of the real grounding instance.