  Event logs play a fundamental role in enabling data-driven business process
analysis. Traditionally, these logs track events related to a single object,
known as the case, limiting the scope of analysis. Recent advancements, such as
Object-Centric Event Logs (OCEL) and Event Knowledge Graphs (EKG), capture
better how events relate to multiple objects. However, attributes of objects
can change over time, which was not initially considered in OCEL or EKG. While
OCEL 2.0 has addressed some of these limitations, there remains a research gap
concerning how attribute changes should be accommodated in EKG and how OCEL 2.0
logs can be transformed into EKG. This paper fills this gap by introducing
Temporal Event Knowledge Graphs (tEKG) and defining an algorithm to convert an
OCEL 2.0 log to a tEKG.
