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: ['Bhajji includes vegetables that come from the Karnataka region.', 'Bhajji includes vegetables as ingredients and comes from the Karnataka region.']
Example Output: SIMILAR

Example Input: ['for a pub that is not child friendly in the city centre that does Fast food then there is The Olive Grove which is in the moderate price range', 'The Olive Grove is a pub in the city centre that does Fast food , it is in the moderate price range and is not child friendly']
Example Output: SIMILAR

Example Input: ['Len Wein collected an award from the Academy of Comic Book Arts.', 'Academy of Comic Book Arts has won awards from the Len Wein.']
Example Output:
DISSIMILAR