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: ['This pub is considered to be expensive, usually charging more than £30 with each bill. Clowns is located in Riverside, and is loved by the local population.', 'Clowns is located in the very popular Riverside neighborhood. The pub is loved by locals, despite its high bill of over £30 on average.']
Example Output: SIMILAR

Example Input: ['Margrethe II is the Queen of Denmark where the Greenlandic language is spoken. The country is the location of Aarhus airport in Tirstrup, part of the Central Denmark region.', 'Margrethe II is the Queen of Denmark where one of the languages spoken is Greenlandic. The country is the location of Aarhus airport in Tirstrup, part of the Central Denmark region.']
Example Output: SIMILAR

Example Input: ['The Waterman is a low rated French restaurant located in the city centre with a price range of less than £20. It is not family-friendly.', 'The status of incumbent Charles Stenholm is re- elected.']
Example Output:
DISSIMILAR