This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Input: Consider Input: Near Café Sicilia is the children friendly, fast food coffee shop The Punter, which has a 1 out of 5 customer rating and a high price range.

Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Fast food'], ['The Punter', 'priceRange', 'high'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]


Input: Consider Input: Bibimbap House has a price range of less then 20 dollars. They serve French food. Located near Clare Hall in the city centre area.

Output: [['Bibimbap House', 'food', 'French'], ['Bibimbap House', 'area', 'city centre'], ['Bibimbap House', 'near', 'Clare Hall']]


Input: Consider Input: In the 1999 All-Africa games, Mauritius had one bronze and 2 medals in total.


Output: [['[TABLECONTEXT]', 'COUNTRY', 'Mauritius'], ['Mauritius', 'TOTAL', '2'], ['[TABLECONTEXT]', '[TITLE]', 'Athletics at the 1999 All-Africa Games'], ['Mauritius', 'BRONZE', '1']]