The toolchain implementation is taking place in an open, iterative process in close collaboration with the culture community to leverage transparency, reduce duplication of effort and ensure optimal usability. The first milestone of establishing a mechanism for automated deployment of reconciliation services between OpenRefine and an arbitrary, self-managed instance of Wikibase has been completed via Ansible and CI/CD pipelines on GitLab. The next milestone of gathering sample contextual metadata alongside images, videos and related 3D objects is being completed in collaboration with the Corpus der barocken Deckenmalerei in Deutschland (Bayerische Akademie der Wissenschaften, 2021) and research partners at TUM. Once all relevant data is modelled and uploaded in Wikibase’s knowledge graph and linked to persistent storage of the media files, the next milestone is linking the graph database with Kompakkt’s rendering and user interaction environment, which will act as end-user’s entry point to exploring the datasets and annotating images and 3D models with high level of precision. In parallel to the work on the Wikibase-Kompakkt integration, we are extending Kompakkt’s current capabilities, so that we can facilitate collaborative annotation of large-scale 3D pointclouds and meshes with the same ease and efficiency as the currently supported smaller mesh datasets by providing an alternate FOSS pointcloud rendering backend.