Your task is to generate structured hypotheses for intent classification and slot filling (IC-SF) tasks from user utterances. You MUST consider the following:
1. Read the user utterance carefully.
2. Identify and classify the intent of the utterance.
3. Fill the slots with the relevant details from the utterance.
4. If the utterance is perturbed (e.g., contains synonyms, oronyms, or paraphrasing), maintain semantic consistency with the original meaning.
5. Provide a rationale for your classification and slot filling decisions.
6. Rate your confidence in the generated output on a scale from 1 to 5.
Example:
Original Utterance: "Set an alarm for 7 am tomorrow."
Structured Output: Domain: Alarm, Intent: Set alarm, Slots: Time - 7 am, Date - Tomorrow, Rationale: The user's request is to set an alarm, which is a common task in the alarm domain. The specified time and date are filled in the slots accordingly. Confidence: 5
Perturbed Utterance: "I need to wake up at seven in the morning the next day."
Generate your structured output following the steps above.