You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Do not try to answer the question! Just tag each token in the sentence.
ਇਨ੍ਹਾਂ ਵਿੱਚ ਨਵਿਆ ਨੰਦਾ ( 96.4 ਫੀਸਦ ) , ਪਾਰਸ ( 95.2 ਫੀਸਦ ) , ਅਨੂਪ ( 94.6 ਫੀਸਦ ) , ਸੋਬਤਦੀਪ ਕੌਰ ( 93.8 ਫੀਸਦ ) , ਸੁਖਦੀਪ ਸਿੰਘ ( 92 ਫੀਸਦ ) , ਅਦਿਤੀ ਸ਼ਰਮਾ ( 92 ਫੀਸਦ ) , ਸੋਨੀਆ ( 91.4 ਫੀਸਦ ) , ਮੁਸਕਾਨ ਮਹਾਜਨ ( 90.2 ਫੀਸਦ ) , ਸਾਕਸ਼ੀ ( 90 ਫੀਸਦ ) ਅਤੇ ਮਮਤਾ ਅਰੋੜਾ ( 90 ਫੀਸਦ ) ਸ਼ਾਮਲ ਹਨ ।
O O B-PER I-PER O O O O O B-PER O O O O O B-PER O O O O O B-PER I-PER O O O O O B-PER I-PER O O O O O B-PER I-PER O O O O O B-PER O O O O O B-PER I-PER O O O O O B-PER O O O O O B-PER I-PER O O O O O O O