title: Differentiate between countries and cities in spacy NER
body: <p>I'm trying to extract countries from organisation addresses using spacy NER, however, it labels countries and cities with the same tag <code>GPE</code>. Is there any way I can differentiate them?</p>
  
  <p>for instance:</p>
  
  <pre><code>nlp = en_core_web_sm.load()
  
  doc= nlp('Resilience Engineering Institute, Tempe, AZ, United States; Naval Postgraduate School, Department of Operations Research, Monterey, CA, United States; Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States; Arizona State University, School for the Future of Innovation in Society, Tempe, AZ, United States')
  
  for ent in doc.ents:
      if ent.label_ == 'GPE':
          print(ent.text)
  </code></pre>
  
  <p>gives back</p>
  
  <pre><code>Tempe
  AZ
  United States
  United States
  Tempe
  AZ
  United States
  Tempe
  AZ
  United States
  </code></pre>