RASA backend unable to retrieve appropriate respond

Question

Hello amazing people out there, I have NLU datasets with size of around 4 MB for FAQ chatbot which has around 159 intents and stories defined for each intents. Most of the stories consists of just one intent and corresponding utterance as response. I have tested the trained model with above NLU and story data using local RASA X environment and I am facing a problem. The problem is an intent is predicted with confidence value of 1 as shown below.

enter image description here

There is a unique story written for this intent and corresponding utterance as shown below. enter image description here

And yet the predicted response is a ‘action_default_fallback’ instead of ‘utter_levfour_empappwork_writecv_response’.

Also, I have defined a rule for nlu_fallback as shown below: enter image description here

and the configuration for fallback threshold is set as shown below. enter image description here

I am wondering why RASA backend is predicting 'action_default_fallback ’ in this case. Could anyone shed some light on this issue, please? I would be grateful for your responses.

Thank you everyone