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: ["Amatriciana sauce is from the Lazio region in Italy and it's used in an Italian meal. Pecorino Romano is an ingredient of Amatriciana sauce as well as tomatoes, guanciale, cheese and olive oil.", 'Amatriciana is a popular sauce from Lazio, Italy. It includes Pecorino Romano cheese along with tomatoes, guanciale and olive oil.']
Example Output: SIMILAR

Example Input: ['There is a moderate price coffee Shop The Punter with Fast food and is family friendly located near Café Sicilia.  Rates 3 out of 5.', 'The Punter if a coffee shop with moderate prices, kid friendly and has Fast food near Café Sicilia.  3 out of 5 rating.']
Example Output: SIMILAR

Example Input: ['The Waterman is a kids friendly Italian restaurant situated by the riverside with a high customer rating. Their price range is 20-25L.', 'The Waterman is an Italian restaurant located by the riverside with a price range of 20-25L. This is a kids friendly place and its customer rating is high.']
Example Output:
SIMILAR