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: Browns Cambridge provides Chinese food in the moderate price range. Its customer rating is 3 out of 5.
Example Output: [['Browns Cambridge', 'food', 'Chinese'], ['Browns Cambridge', 'priceRange', 'moderate'], ['Browns Cambridge', 'customer rating', '3 out of 5']]

Example Input: Fitzbillies is a child friendly Italian coffee shop in the city centre - just don't forget your wallet.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]

Example Input: In Albuquerque (New Mexico), the leader is called, the United States House of Representatives.
Example Output:
[['Albuquerque, New Mexico', 'LEADER_TITLE', 'United States House of Representatives']]