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.

Input: Consider Input: ['Midsummer House provides Chinese food in the cheap price range. It is near All Bar One. Its customer rating is average.', 'The Midsummer House has cheap Chinese food near All Bar One. It has an average customer rating.']

Output: SIMILAR


Input: Consider Input: ['City Centre has a coffee shop that serves Japanese food, children friendly,  has a customer rating of 3 out of 5 and on a high price range called Fitzbillies.', 'Fitzbillies is a children friendly coffee shop that serves Japanese food in the city centre. It has a high price range and a customer rating of three out of five.']

Output: SIMILAR


Input: Consider Input: ['The Punter is family friendly coffee shop sited in the city centre near Café Sicilia, it serves French food at low prices.', 'The Punter is a family friendly coffee shop serving French food at low prices, it is sited in the city centre near Café Sicilia.']


Output: SIMILAR