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 Javenese people are an ethnic group in Java, where there is a dish called ayam penyet. The dish originates from Singapore, where the leader is Halimah Yacob and one of the languages spoken is English.', 'English is spoken in Singapore where the leader is Halimah Yacob. Ayam penet is from Singapore and Java where the Javanese people are an ethnic group.']
Example Output: SIMILAR

Example Input: ['The Punter in the store also sold coffee and fast food still good value for the family. It is located next to Café Sicilia.', 'The Punter, a coffee shop very close of Café Sicilia that brings you a Fast food service']
Example Output: SIMILAR

Example Input: ['The population density, of Auburn (Washington), is 914.8 inhabitants per square kilometre.', 'The population density of Auburn, Washington, is 914.8 inhabitants per sq km.']
Example Output:
SIMILAR