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: ['Halimah Yacob is a leader of Singapore, where English is one of the languages and a popular dish is Beef kway teow. This dish is popular nationwide and also in Indonesia.', 'Beef kway teow is a popular dish in Indonesia and Singapore. One of the languages spoken in Singapore is English and the leader is Halimah Yacob.']
Example Output: SIMILAR

Example Input: ['Antwerp International airport serves Antwerp, Belgium where German is an official language.', 'Antwerp International airport serves Antwerp, a popular tourist destination in, German speaking Belgium.']
Example Output: SIMILAR

Example Input: ['Alimentum is a inexpensive restaurant that serves British food. It is not by the city centre. It is located by The Yippee Noodle Bar.', 'Tim Hortons in Wildwood near a Ranch has high priced French food with a customer rating 3 out of 5']
Example Output:
DISSIMILAR