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: Aarhus Airport is operated by Aktieselskab and the runway length is 2702.0.
Example Output: [['Aarhus Airport', 'OPERATING_ORGANISATION', 'Aktieselskab'], ['Aarhus Airport', 'RUNWAY_LENGTH', '2702.0']]

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: The coffee shop The Golden Palace is north of the city centre. It serves expensive food and has a 5 star rating.
Example Output:
[['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'priceRange', 'more than £30'], ['The Golden Palace', 'customer rating', '5 out of 5'], ['The Golden Palace', 'area', 'city centre']]