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: ['The race winer of the portuguese grand prix is nigel mansell.', 'The foreign players in Ekaterinburg are Terence Martin and Jason Haldane.']
Example Output: DISSIMILAR

Example Input: ['Barny cakes, which are made of sponge cake, can be found in France, where French is the language spoken and where Manual Valls and Claude Bartolone are leaders.', 'Barny cakes, made with sponge cakes, can be found in France, where they speak French and their leaders are Claude Bartolone and Manuel Valls.']
Example Output: SIMILAR

Example Input: ['Near the riverside is a high rated restaurant. Prices range from £20-25. It is called The Phoenix and it serves Fast food.', 'Near the riverside is a high rated restaurant. Its prices range from £20-25. The Phoenix serves Fast food.']
Example Output:
SIMILAR