In this work, the objective is to thoroughly annotate full-texts to retrieve specifics about investigated materials and underlying processes. However, a fundamental characteristic of scientific research is building upon past findings, leading to a complex web of interconnected knowledge. Typically, previous work is cited and described in an abridged form rather than explicitly detailing methodologies, material compositions, or experimental setups. Such fragmentation poses a significant challenge for LLMs attempting to understand the intricacies of material science research. A viable solution to this is constructing hierarchicallystructured knowledge graphs which do not only capture the document structure also the citation network, similar to efforts which have been performed in the graph RAG field .