This poster presents the 3D text encoding method using TEI schema. Based on the discussion we had in TEI2022, proposing the use ofto represent the three-dimensional spatiality and textual information, we have further developed the method in that more sophisticated encoding such as editorial marks using , , and etc. can be now implemented and automatically rendered to a 3D space by our rendering algorithm. In addition, we will suggest that the 3D text data encoded in that way should function as Linked Data to locate the text in a broader information network of 3D objects and spaces.