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: ['A  restaurant called Blue Spice is located in the city centre area and is not family-friendly. It has a low customer rating with a price range of less then £20.', 'The score in the game against Boston was w 95–79 (ot).']
Example Output: DISSIMILAR

Example Input: ['United States national Elliot See was born in Dallas. He graduated from the University of Texas at Austin, an affiliation of the university of Texas system, and later served as a test pilot. He passed away in St. Louis.', 'Elliot See has died in St Louis. Born in Dallas he was a US national and attended the University of Texas at Austin which is affiliated the the University of Texas system. He then became a test pilot,.']
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