To generate these stories, we first design a knowledge base (KB) with rules specifying how kinship relations resolve, and we use the following steps to create semi-synthetic stories based on this knowledge base: Step 1.
unlike previous benchmarks in this domain-which are generally transductive and focus on leveraging and extracting knowledge graphs as a source of background knowledge about a fixed set of entities-CLUTRR requires inductive logical reasoning, where every example requires reasoning over a new set of previously unseen entities.