order of features importance after make_column_transformer and pipeline
Your assumption is correct. Usually after column Transformation columns lose their names and get default values corresponding to their orders.

Additional Info:
You may try Eli5

from eli5 import show_weights,show_prediction
show_weights(model)
show_prediction(model,data_point)


The later function shows the impact of every features for predicting a data_point.