Efficient Natural Language Processing (NLP) models require large amounts of training data. Manually creating training data is time-consuming. We present WikiEvents, an automatically curated dataset based on Wikipedia’s Current Events portal. WikiEvents is a novel knowledge graph that aims to provide data for various event-centric NLP tasks, such as event-related location extraction and entity linking. Therefore, WikiEvents includes event summaries with linked entities and locations. WikiEvents also provides spatial and temporal information about extracted events for various use case analyses. We leverage the NLP Interchange Format (NIF) ontology and an event-specific novel ontology - CoyPu. We evaluate the suitability regarding NLP tasks by (1) training three BERT models on event-related location extraction with data queried from WikiEvents and (2) comparing WikiEvents to the existing entity linking dataset AIDA-YAGO2. Qualitative, event-related research capabilities are explored by querying data from WikiEvents for multiple use cases and visualizing it.