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: ['Mid priced French cuisine is served in Fitzbillies, a child friendly coffee shop located in the City centre.', 'The winner of the FIS championship in 1982 won the Winter Olympics in 1984.']
Example Output: DISSIMILAR

Example Input: ['Located in the city centre near Burger King, The Eagle is a family-friendly coffee shop with French cuisine. Prices are less than £20. Customers give it an average rating.', 'There is a French coffee shop near Burger King in the city centre called The Eagle which is family-friendly, an average customer rating, and has a less than £20 price range.']
Example Output:
SIMILAR