To showcase the effectiveness of our semi-automated annotation workflow for structured JSON extraction from materials science literature, we employed a detailed prompt designed for accurate data transformation. The prompt served as a guiding framework, asking the model to act as an efficient data transformation assistant, specializing in materials science. This assistant was tasked with processing individual excerpts from materials science papers, presented in a markup language format.