Wrong Entity mapping

Rasa Open Source
1

{ “language”: “en”, “pipeline”: “spacy_sklearn”, “data”: { “rasa_nlu_data”: { “common_examples”: [ { “intent”: “generic_intent”, “text”: “I224235S109404”, “entities”: [ { “start”: 0, “end”: 14, “value”: “I224235S109404”, “entity”: “account_number”, “entity_id”: 5 } ] }, { “intent”: “generic_intent”, “text”: “NY”, “entities”: [ { “start”: 0, “end”: 2, “value”: “NY”, “entity”: “city_name”, “entity_id”: 6 } ] }, { “intent”: “generic_intent”, “text”: “11210”, “entities”: [ { “start”: 0, “end”: 5, “value”: “11210”, “entity”: “zipcode”, “entity_id”: 4 } ] }, { “intent”: “generic_intent”, “text”: “11211”, “entities”: [ { “start”: 0, “end”: 5, “value”: “11211”, “entity”: “zipcode”, “entity_id”: 4 } ] }, { “intent”: “greet”, “text”: “hi”, “entities”: [] }, { “intent”: “greet”, “text”: “hello”, “entities”: [] } ], “regex_features”: [ { “name”: “account_number”, “pattern”: “I[a-zA-Z0-9]*[a-zA-Z0-9]{13,14}” }, { “name”: “zipcode”, “pattern”: “[0-9]{5}” } ] } } }

when i give I224235S109405 as input extracting properly

my problem is : when train more sample data for city name (10000 names)

I224235S109404 extracting as city name :

"entities": [
    {
        "start": 0,
        "end": 14,
        "value": "i212851s105704",
        "entity": "city_name",
        "confidence": 0.9774771019143172,
        "extractor": "ner_crf"
    }
],

please give to solve the issue .