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

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


Question: Rosberg continued to drive for Mercedes in the 2013 season, winning 2 out of 19 races and scoring 171 points.

Answer: [['Formula One', 'POINTS', '171'], ['2013', 'TEAM', 'Mercedes AMG Petronas F1 Team'], ['19', 'WINS', '2'], ['Formula One', 'RACES', '19'], ['2013', 'SERIES', 'Formula One'], ['[TABLECONTEXT]', '[TITLE]', 'Nico Rosberg'], ['[TABLECONTEXT]', 'SEASON', '2013']]


Question: Cocum is a coffee shop with a 5 out of 5 customer rating.  It is not family-friendly.  It serves cheap Italian food.

Answer:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Italian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'no']]