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: ['Browns Cambridge is an average rated, family friendly coffee shop, serving Indian food near the Crowne Plaza Hotel in city centre.', 'Browns Cambridge is an averagely rated coffee shop located near Crowne Plaza Hotel in the city centre. It is family friendly and serves Indian food.']
Example Output: SIMILAR

Example Input: ['Bibimbap House serves Italian. It has a high price range. It is in the center of the city near Clare Hall', 'Serving Italian food at a high price range, Bibimbap House can be found near Clare Hall in the city centre.']
Example Output: SIMILAR

Example Input: ['The binignit dish can be found in the Philippines.', 'The county Philippines comes from is the Binignit.']
Example Output:
DISSIMILAR