Consider a Socratic prompt such as: "Based on the observed reaction rates, what hypotheses can we form about the role of temperature in this mechanism? Can we identify any supporting trends or anomalies?" By contrast, a non-Socratic prompt might ask: "What is the effect of temperature on reaction rates?" The Socratic prompt encourages the model to engage with evidence, generate plausible explanations, and iteratively refine its reasoning, fostering a deeper connection between data and hypothesis. Meanwhile, the non-Socratic prompt retrieves a straightforward answer, often lacking the critical depth needed to drive innovative insights. Socratic induction-based prompts guide LLMs to iteratively generate and refine hypotheses, bridging data with broader theories and advancing innovative discoveries in chemistry.