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: ['The Eagle is a cheap Indian coffee shop with an average customer rating. It is in riverside location near Burger King, and is family friendly.', 'The Eagle is a cheap Indian coffee shop in a riverside location. It has an average customer rating, is family friendly and is located near Burger King.']
Example Output: SIMILAR

Example Input: ['Acta Mathematica Hungarica has the LCCN number 83646315.', 'Acta Mathematica Hungarica is the LCCN number for 83646315.']
Example Output:
DISSIMILAR