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: ['Located near Rainbow Vegetarian Café is  Strada a French restaurant that serves food for more than £30.  It has high ratings but is not child friendly.', 'Strada, a French restaurant near Rainbow Vegetarian Café, has a 5 out of 5 customer rating but is not family-friendly and has a price of more than 30.']
Example Output: SIMILAR

Example Input: ["Designer of 103 Colmore Row, John Madin's hometown was Birmingham, a town lead by the Liberal Democrats and the postcode area 'B'.", 'The architect John Madin who designed 103 Colmore Row was born in Birmingham which has the B postcode and is lead by the Liberal Democrats.']
Example Output: SIMILAR

Example Input: ['There is a moderately priced, three-star pub called Wildwood which serves sushi.', 'For a moderate price, try 3-star rated Wildwood pub which serves a variety of food and wine.']
Example Output:
SIMILAR