In CommonsenseQA (CSQA) tasks, Chain-of-Thought (CoT) prompting helps language models utilize general, everyday knowledge for reasoning. For example, when answering "What type of person typically contracts illness?", the CoT approach guides the model to explicitly reason that the correct choice must be someone susceptible to illness. It then deduces that an "elderly person" is the correct answer because they typically have weaker immune systems, thereby linking common sense to the final conclusion through intermediate steps.