This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

Example Input: ['Antwerp is served by Antwerp International airport.', 'Antwerp International Airport International Airport serves the city of Antwerp.']
Example Output: DISSIMILAR

Example Input: ['Paolo Silveri, Caterina Mancini, Antonio Cassinelli, Mario Binci, and Gabriella Gatti were case in Nabucco.', 'Michael Campbell of New Zealand was +1 to part at the 2005 U.S. Open.']
Example Output: DISSIMILAR

Example Input: ['Browns Cambridge serves an English menu in the upper price range. It was rated average by customers.', 'Browns Cambridge serves reasonably priced English food.  It has been given an average rating by its customers.']
Example Output:
SIMILAR