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 Punter is a family coffee shop with Italian food with high prices but also an average rating, its close to Café Sicilia', 'The Punter is a family coffee shop with Italian food its near to Café Sicilia with high prices and average rating']
Example Output: SIMILAR

Example Input: ['The Phoenix City Centre is an expensive French cuisine place that is infamous for its 1 star rating.', "The Phoenix gets low customer ratings and offers French fare in the over £30 range in Cambridge's city centre area."]
Example Output: SIMILAR

Example Input: ['Browns Cambridge is a cheaper Japanese venue however its rating by customers is low.', 'Average Browns Cambridge food for less than  £20 can be found at Japanese.']
Example Output:
DISSIMILAR