Cannot extract all entities which had same range values

[dgks0n]

I made an example as below by using spacy with lookup dependencies.

entity = Entity(
    keywords_list=["Japan", "Tokyo", "US"],
    label='from_location',
    case_sensitive=True)
nlp.add_pipe(entity, name='location')

entity2 = Entity(
    keywords_list=["Korea", "Japan", "US", "Tokyo"],
    label='to_location',
    case_sensitive=True)
nlp.add_pipe(entity2, name='to_location')

doc = nlp(
    u"I want to go to Tokyo Japan tomorrow morning from US. Can you book a ticket?")
for token in doc:
    if token._.is_entity:
        pprint([(token.text, token._.canonical, token.ent_type_, token.pos_, token.idx, token.idx + len(token.text))])

Here is the result:

[('Tokyo', 'Tokyo', 'from_location', 'X', 16, 21)]
[('Japan', 'Japan', 'from_location', 'X', 22, 27)]
[('US', 'US', 'from_location', 'X', 50, 52)]

However, my expectation is:

[('Tokyo', 'Tokyo', 'to_location', 'X', 16, 21)]
[('Tokyo', 'Tokyo', 'from_location', 'X', 16, 21)]
[('Japan', 'Japan', 'to_location', 'X', 22, 27)]
[('Japan', 'Japan', 'from_location', 'X', 22, 27)]
[('US', 'US', 'to_location', 'X', 50, 52)]
[('US', 'US', 'from_location', 'X', 50, 52)]

Is there anyone know why?