  We present an overview of our triple extraction system for the ICDM 2019
Knowledge Graph Contest. Our system uses a pipeline-based approach to extract a
set of triples from a given document. It offers a simple and effective solution
to the challenge of knowledge graph construction from domain-specific text. It
also provides the facility to visualise useful information about each triple
such as the degree, betweenness, structured relation type(s), and named entity
types.
