Abstract
Object-centric process mining extends traditional approaches by associating events with multiple objects and capturing their interactions, which are essential to understanding process dynamics. However, existing case-centric models and current Object-Centric Event Data (OCED) approaches struggle with ambiguity and limited support for time and dynamic relations. In this work, we address these limitations through a three-step approach. First, we analyze key issues in existing OCED metamodels, highlighting their ambiguity and expressiveness gaps. Second, we enhance the OCED Core Model by grounding it in gUFO, a lightweight version of the UFO-B foundational ontology for representing objects, events, time, and their relations, resulting in a new metamodel called gOCED. Third, we show that gOCED preserves the simplicity of existing models while extending them to resolve the identified limitations.