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.

Example Input: The Eagle is a Japanese coffee shop on the riverside. It is near Burger King. It is not family-friendly. The customer rating is low and the price range is less than £20.
Example Output: [['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Japanese'], ['The Eagle', 'priceRange', 'less than £20'], ['The Eagle', 'customer rating', 'low'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]

Example Input: Earning fourth place, Fiji's performance at the 2011 Pacific Games included 33 gold medals and 44 silvers.
Example Output: [['[TABLECONTEXT]', '[TITLE]', '2011 Pacific Games'], ['130', 'SILVER', '44'], ['130', 'GOLD', '33'], ['Fiji', 'RANK', '4'], ['[TABLECONTEXT]', 'COUNTRY', 'Fiji'], ['Fiji', 'TOTAL', '130']]

Example Input: Angola International Airport serves Luanda and it is 4000 in length.
Example Output:
[['Angola International Airport', 'RUNWAY_LENGTH', '4000.0'], ['Angola International Airport', 'CITY_SERVED', 'Luanda']]