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 CODEN code "ADICE5" is for Addiction (journal).', 'Addiction (Journal) has the CODEN Code ADICE5.']
Example Output: SIMILAR

Example Input: ['Greece, where the local inhabitants are known as Greeks, is lead by Alexis Tsipras and Nikos Voutsis. Athens is a city in Greece which is served by Athens International airport.', 'Athens International Airport serves the city of Athens, in Greece. Two of the leaders of which are Alexis Tsipras and Nikos Voutsis. The demonym of the inhabitants of Greece is Greeks.']
Example Output: SIMILAR

Example Input: ['The Eagle is a good place to come and eat the best food looking the riverside more than £30 but a good choice', 'The Eagle is a good place to come and eat the best food looking the riverside more than £30 but a good choice']
Example Output:
SIMILAR