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: A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.
Example Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]

Example Input: 4th Pride of Britain Awards had an audience of 6.06 million viewers.
Example Output: [['4th Pride of Britain Awards', 'VIEWERS_(MILLIONS)', '6.06']]

Example Input: Turkmenistan Airlines operate Ashgabat International Airport located at 211 metres above sea level in Ashgabat. The airport runway name is 12R/30L and it is 3800.0 in length.
Example Output:
[['Ashgabat International Airport', 'OPERATING_ORGANISATION', 'Turkmenistan Airlines'], ['Ashgabat International Airport', 'LOCATION', 'Ashgabat'], ['Ashgabat International Airport', 'RUNWAY_LENGTH', '3800.0'], ['Ashgabat International Airport', 'ELEVATION', '211'], ['Ashgabat International Airport', 'RUNWAY_NAME', '"12R/30L"']]