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:
Cafu with full name Marcos Evangelista de Moraes has 142 caps and 5 goals

Ex Output:
[['Cafu', 'CAPS', '142'], ['Cafu', 'FULL_NAME', 'Marcos Evangelista de Moraes'], ['Cafu', 'GOALS', '5']]


Ex 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.

Ex 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']]


Ex Input:
The Waterman heads to a family-friendly Italian restaurant  in riverside, the customer rating is low, what do you expect it is less than 20.

Ex Output:

[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Italian'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'low'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]