The Instruction That Holds the Answer Inside the Evidence

The grounding instruction is what separates a grounded answer from a guess. It tells the model to answer only from the supplied context, so every sentence has to be supported by text that was actually placed in the prompt. Without that constraint, the model can fall back on its own stored knowledge and produce a fluent answer that the retrieved evidence does not support.