Different applications can be modeled by sets of interrelated events, such as, sequence of natural disaster events, events in the urban development of a city, and innovation process trajectory in a manufacturing industry. This work is motivated by limitations of current database systems for modeling and querying about interrelated events. It proposes a graph-oriented model and query language for events that extend current graph data models by incorporating temporal and spatial settings of events and different levels of granularity for event representation. The model and language are implemented in an extensible database system.