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: ['The Waterman serves Indian cuisine at a moderate price. The food has been rated 3 out of 5 by customers and is located next to the riverside. Sorry, no kids allowed.', 'The Waterman offers Indian food. The price range is moderate. The customer rating is 3 out of 5. It is located in the riverside area and it is not kids friendly.']
Example Output: SIMILAR

Example Input: ['A.E Dimitra Efxeinoupolis is located in Greece, where the language is Greek, the currency is the euro and its leaders are Nikos Voutsis and Prokopis Pavlopoulos.', 'The A.E Dimitra Efxeinoupolis club is located in Greece where the leaders are Nikos Voutsis and Prokopis Pavlopoulos. The currency used is the euro and the Greek language is spoken in the country.']
Example Output: SIMILAR

Example Input: ['Kempe Gowda is the founder of Bangalore, the location of the Acharya Institute of Technology whose President is B M Reddy.', 'The President of the Acharya Institute of Technology is B.M. Reddy and the university is located in Bangalore. The city was foundered by Kempe Gowda I.']
Example Output:
SIMILAR