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 in the store also sold coffee and fast food still good value for the family. It is located next to Café Sicilia.', 'The Punter, a coffee shop very close of Café Sicilia that brings you a Fast food service']
Example Output: SIMILAR

Example Input: ['Buzz Aldrin who is originally from Glen Ridge, New Jersey graduated from Massachusetts Institute of Technology in 1963. He joined NASA in 1963 as a fighter pilot and became a member of the Apollo 11 crew.', 'Buzz Aldrin was born in Glen Ridge, New Jersey and graduated from MIT with a SC.D. in 1963. Shortly after his graduation he was selected by NASA and served both as a fighter pilot and a crew member on Apollo 11.']
Example Output: SIMILAR

Example Input: ['The coffee shop Cocum is children friendly with a 5 out of 5 customer rating. They serve Japanese food for more than £30.', 'For more than £30, the coffee shop Cocum serves Japanese food in a children friendly atmosphere. The hold a 5 out of 5 customer rating.']
Example Output:
SIMILAR