  Geospatial data plays a central role in modeling our world, for which
OpenStreetMap (OSM) provides a rich source of such data. While often spatial
data is represented in a tabular format, a graph based representation provides
the possibility to interconnect entities which would have been separated in a
tabular representation. We propose in our paper a framework which supports a
planet scale transformation of OpenStreetMap data into a Spatial Temporal
Knowledge Graph. In addition to OpenStreetMap data, we align the different
OpenStreetMap geometries on individual h3 grid cells. We compare our
constructed spatial knowledge graph to other spatial knowledge graphs and
outline our contribution in this paper. As a basis for our computation, we use
Apache Sedona as a computational framework for our Spatial Temporal Knowledge
Graph construction
