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: ['Browns Cambridge is a low priced Japanese restaurant with a three star rating in the city centre.', 'Located in the city centre, Browns Cambridge is a low priced Japanese restaurant with a three star rating.']
Example Output: SIMILAR

Example Input: ['The Vaults is family friendly and serves cheap French food', 'The Vaults serves cheap French food and is family friendly']
Example Output: SIMILAR

Example Input: ['Choiseul has 6,098 Population in 2010 census', 'Browns Cambridge is a high rated Italian restaurant with prices more than £30']
Example Output:
DISSIMILAR