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 Waterman serves English food and has a moderate price range. It is kid friendly. The customer Rating is 1 out of 5.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: A loyal Character Dancer is written in English and published by Soho Press who are based in the United States. In addition Native Americans are an ethnic group in the United States.
Example Output: [['A Loyal Character Dancer', 'LANGUAGE', 'English language'], ['A Loyal Character Dancer', 'PUBLISHER', 'Soho Press'], ['Soho Press', 'COUNTRY', 'United States'], ['United States', 'ETHNIC_GROUP', 'Native Americans in the United States']]

Example Input: Enping's density is 290.23 km2 (population 492,814 in an area of 1,698 km2).
Example Output:
[['Enping', 'AREA_KM2', '1,698'], ['Enping', 'DENSITY_(/KM²)', '290.23'], ['Enping', 'POPULATION_(2010_CENSUS)', '492,814']]