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:
Gergely Rudolf was number 14 during the 2008-09 Debreceni VSC season.

Ex Output:
[['[TABLECONTEXT]', '[TITLE]', '2008-09 Debreceni VSC season'], ['Gergely Rudolf', '#', '14'], ['[TABLECONTEXT]', 'NAME', 'Gergely Rudolf']]


Ex Input:
Strada is a French restaurant near Rainbow Vegetarian Café. It has an average customer rating and is not family-friendly. Prices are less than 20 pounds.

Ex Output:
[['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'French'], ['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'average'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Ex Input:
There is a venue serving English food at a high price range with an average customer rating near to All Bar One, it is called Midsummer House.

Ex Output:

[['Midsummer House', 'food', 'English'], ['Midsummer House', 'priceRange', 'moderate'], ['Midsummer House', 'customer rating', 'average'], ['Midsummer House', 'near', 'All Bar One']]