Update README.md

README.md

@@ -23,19 +23,22 @@ This model was created with two key goals:
 
 In theory this model should be able to detect and ignore metonyms. For example in the sentence:
 
-`Manchester played Liverpool last night in London.`
+`Manchester played Liverpool last night in Liverpool.`
 
-Both Manchester and Liverpool refer to football teams, therefore the model outputs:
+Both Manchester and the first Liverpool mention refer to football teams, therefore the model outputs:
+
+```python
+[
+    {
+        "entity_group": "location",
+        "score": 0.9975672,
+        "word": "liverpool",
+        "start": 42,
+        "end": 51,
+    }
+]
+```
 
-`[
-  {
-    "entity_group": "location",
-    "score": 0.99784255027771,
-    "word": "london",
-    "start": 42,
-    "end": 48
-  }
-]`
 
 
 
@@ -52,20 +55,20 @@ generator = pipeline(
     aggregation_strategy="first",
 )
 
-out = generator("I live north of liverpool in Waterloo")
+out = generator("I like reading books. I live in Reading.")
 ```
 
-Out gives:
+`out` gives:
 
 ```python
-[{'entity_group': 'location',
-  'score': 0.94054973,
-  'word': 'liverpool',
-  'start': 16,
-  'end': 25},
- {'entity_group': 'location',
-  'score': 0.99520856,
-  'word': 'waterloo',
-  'start': 29,
-  'end': 37}]
+[
+    {
+        "entity_group": "location",
+        "score": 0.94123614,
+        "word": "reading",
+        "start": 32,
+        "end": 39,
+    }
+]
+
 ```