For example, a Socratic prompt might ask: "What trends in electronegativity can we observe across a period, and how do elements like noble gases challenge these patterns?" In contrast, a non-Socratic prompt might simply state: "What is the trend in electronegativity across a period?" The Socratic prompt harnesses the principle of generalization to uncover higher-level trends while critically examining exceptions, ensuring robustness and enabling a more thoughtful application of patterns in chemistry. This approach exemplifies the power of SM in fostering predictive reasoning and refining broad principles through iterative questioning. By contrast, the non-Socratic prompt provides a surface-level response that fails to engage with the nuances of the topic. Through Socratic generalization-based prompts, LLMs can uncover patterns and exceptions, enabling predictive reasoning and guiding researchers toward robust chemical insights.