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.

Ex Input:
The Waterman offers a higher-priced menu of English food in a child-friendly riverside setting. It was rated average by customers.

Ex Output:
[['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]


Ex Input:
On May 11, 2011, Didier Ya Konan scored 4-1 in a game at Stade Félix Houphouet-Boigny, Abidjan, Côte d'Ivoire.

Ex Output:
[['[TABLECONTEXT]', '[TITLE]', 'Didier Ya Konan'], ['[TABLECONTEXT]', 'NUMBER', '2'], ['2', 'DATE', '11 May 2011'], ['11 May 2011', 'VENUE', "Stade Félix Houphouet-Boigny, Abidjan, Côte d'Ivoire"], ['11 May 2011', 'SCORE', '4-1']]


Ex Input:
In 1989, IBM introduced its first portable personal system, under the name P70 386.

Ex Output:

[['[TABLECONTEXT]', 'IBM_MODEL_NUMBER', '8573-031'], ['8573-031', 'YEAR', '1989'], ['8573-031', 'NAME', 'P70 386'], ['8573-031', 'CASE', 'portable'], ['[TABLECONTEXT]', '[TITLE]', 'IBM Personal System/2']]