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: ['Boris Johnson is the leader in London.', 'The leader of Boris Johnson is called London.']
Example Output: DISSIMILAR

Example Input: ['Close to Café Sicilia is a family Friendly coffee shop The Punter with a low customer Rating serving Italian food at less than £20', "Cocum offers low cost Japanese food in a coffee shop setting. While it isn't family-friendly past customers rate it 5 out of 5."]
Example Output: DISSIMILAR

Example Input: ['The number of members of Isidro Metapán is 10000.', '10000 has A.D. Isidro Metapán members.']
Example Output:
DISSIMILAR