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 in the city centre, The Golden Palace coffee shop offers low priced Italian food. The shop currently has a low customer rating.', 'The Golden Palace is an Italian coffee shop near the city centre. It has a price range of less than 20 pounds, but has a low customer rating.']
Example Output: SIMILAR

Example Input: ['The Australian politician represents the South Province, and his term will expire in 1986.', 'Appleton International airport is located in Greenville, Wisconsin in the United States.The airport serves Appleton. Greenville is part of Ellington and Dale,Wisconsin.']
Example Output: DISSIMILAR

Example Input: ['French is a language spoken in France.', 'The France is spoken in French language.']
Example Output:
DISSIMILAR