Explain this named entity code

Code:

#accessing entity annotation

import spacy

nlp = spacy.load("en_core_web_sm")

doc = nlp("The Eiffel Tower is located in Paris, France")

# document level

ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]

print(ents)

# token level

ent_paris = [doc[0].text, doc[0].ent_iob_, doc[0].ent_type_]

ent_france = [doc[1].text, doc[1].ent_iob_, doc[1].ent_type_]

print(ent_paris) # ['San', 'B', 'GPE']

print(ent_france) # ['Francisco', 'I', 'GPE']

Output:

[('The Eiffel Tower', 0, 16, 'ORG'), ('Paris', 31, 36, 'GPE'), ('France', 38, 44, 'GPE')]

['The', 'B', 'ORG']

['Eiffel', 'I', 'ORG']