Your acf and pacf plot is ambiguous. The paradigm you are trying to follow to identify the SARIMA model sometimes works when 
     1) there are no one-time pulses in the data
     2) there are no seasonal pulses in the data
     3) there are no level/step shifts in the data
     4) there are no local trends in the data
     5) the underlying (waiting to be discovered ) 
        model generates errors that has constant 
        variance
     6) the underlying model has constant 
        parameters over time.

 A more robust paradigm/procedure to follow is suggested here  

https://autobox.com/pdfs/ARIMA%20FLOW%20CHART.pdf


If you post your data (which is always less ambiguous) , I will try and help further.