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:
In the city centre is the English restaurant Alimentum. With a cheap price range and average customer rating, it is located near Yippee Noodle Bar.

Ex Output:
[['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'English'], ['Alimentum', 'priceRange', 'moderate'], ['Alimentum', 'customer rating', 'average'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]


Ex Input:
Allama Iqbal International airport is located in Pakistan and has a runway named 18R/36L. The runway length is 2900.0.

Ex Output:
[['Allama Iqbal International Airport', 'LOCATION', 'Pakistan'], ['Allama Iqbal International Airport', 'RUNWAY_NAME', '"18R/36L"'], ['Allama Iqbal International Airport', 'RUNWAY_LENGTH', '2900.0']]


Ex Input:
France had 20% imports from russia.

Ex Output:

[['France', '%_OF_IMPORTS_FROM_RUSSIA', '20%']]