  This paper describes our participation in the Triple Scoring task of WSDM Cup
2017, which aims at ranking triples from a knowledge base for two type-like
relations: profession and nationality. We introduce a supervised ranking method
along with the features we designed for this task. Our system has been top
ranked with respect to average score difference and 2nd best in terms of
Kendall's tau.
