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: ['Brown sauce is an ingredient in a bacon sandwich which is considered a variation of A BLT, which is itself considered to be variation of a club sandwich.', 'The BLT is a variation on the club sandwich and is a lot like a bacon sandwich which many people have with brown sauce.']
Example Output: SIMILAR

Example Input: ['City Centre has a coffee shop that serves Japanese food, children friendly,  has a customer rating of 3 out of 5 and on a high price range called Fitzbillies.', 'Fitzbillies is a children friendly coffee shop that serves Japanese food in the city centre. It has a high price range and a customer rating of three out of five.']
Example Output: SIMILAR

Example Input: ['The Cambridge Blue serves Indian food is near Café Brazil.', 'Indian Food is on the menu at Midsummer House restaurant located near Café Rouge. This dining choice is rated 1 out of 5 by customers.']
Example Output:
DISSIMILAR