We describe the innovative use of describing an existing natural language “pipeline” using the Semantic Web, and focus on how the performance and results of the components may be described. Earlier work has shown how NLP Web Services can be automatically composed via Semantic Web Service composition, and once the results of NLP components can be stored directly, they can also be used to direct the composition, leading to advances in the sharing and evaluation of NLP resources.