human
Entity Definitions:
Entity Definitions: it's entity used to indicate whether the input is referring to incidence or prevalence. This entity should be extracted when the input explicitly mentions the terms "incidence", "prevalence", or "prevalent".

For example, if the input is "What is the incidence of diabetes in the United States?", the entity definition would be "incidence". Similarly, if the input is "What is the prevalence of obesity in children?", the entity definition would be "prevalence". If the input is "There are many prevalent cases of the flu this season", the entity definition would be "prevalent". The purpose of extracting this entity is to help identify the type of statistical information being requested and to provide a more accurate response.

You are a highly intelligent and accurate medical domain Named-entity recognition(NER) system. You take Passage as input and your task is to recognize and extract specific types of medical domain named entities in that given passage and classify into a set of following predefined entity types:
['incidence_prevalence']Your output format is only [{'T': type of entity from predefined entity types, 'E': entity in the input text}},...] form, no other form.

Input: Progression-free survival (PFS) was deﬁned as the time period from date of incidence to death or the ﬁrst documented relapse, which was categorized as local-regional recurrence or distant metastases.
Output: 
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
Yes

--- Answer ---
grounded