Google released the Wikilinks Corpus, a collection of 40M disambiguated mentions from 10M web pages to 3M Wikipedia pages. This data can be used to train systems that do entity linking and cross-document co-reference, problems that Google researchers attacked with an earlier version of this data (see Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models).

You can download the data as ten 175MB files from and some addional tools from UMASS.

This is yet another example of the important role that Wikipedia continues to play in building a common, machine useable semantic substrate for human conceptualizations.