You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Information (KFI) should be meaningful and include important details.

Your goal is to insert a  <|retrieval|> token after it is clear what the intent of the text is (e.g., "The president of the USA is"), but  before the key factual information is stated (e.g., "Joe Biden"). Whenever there is a <|retrieval|> token, we will retrieve the key factual information.

Here is the passage you will be working with:

<passage>
Allan do Carmo Allan Lopes Mamédio do Carmo (born 3 August 1989) is a Brazilian swimmer, who specialized in open water marathon. He is considered one of the fastest professional open water swimmers in the world, finishing near the top of FINA World Cup races for the 10 km marathon. He also won a bronze medal for his category at the 2007 Pan American Games in Rio de Janeiro. Career Do Carmo qualified for the 2008 Summer Olympics in Beijing, after placing sixth in the 10 km Marathon Swimming Olympic test event at Shunyi Olympic Rowing-Canoeing Park. He swam in the first-ever Olympic men's 10 km open water marathon, against a field of 24 other competitors, including former pool swimmers Petar Stoychev of Bulgaria and Thomas Lurz of Germany. Do Carmo finished the race in fourteenth place, with a time of 1:52:16.6, approximately twenty-five seconds behind winner Maarten van der Weijden of the Netherlands. In 2010, do Carmo narrowly missed out of the medal podium, when he finished fourth for the 10 km open water marathon at the Pan Pacific Championships in Long Beach, California, United States, with a time of 1:56:04.67, two minutes behind Canada's Richard Weinberger. On that same year, do Carmo claimed a silver medal in the 5 km, but achieved again a fourth-place finish in the 10 km at the South American Games in Medellín. He also finished 4th in the 10 km marathon. At the 2011 FINA World Championships in Shanghai, do Carmo placed fifth in the 25 km marathon, with a time of 5:11:32.2; however, he displayed a poor performance in the 10 km marathon, when he finished the race farther from the medal podium in fiftieth place in 2:05:42.5. Few months later, do Carmo recovered from a major setback with a seventh-place time of 2:08.28 in the 10 km at the Pan American Games in Guadalajara, Mexico. In 2012, do Carmo offered another shot for a bid to the Summer Olympics in London by participating at the FINA Olympic Marathon Swim Qualifier, held in Setubal, Portugal. He competed against a field of 61 open water swimmers including Stoychev, David Davies of Great Britain, and Oussama Mellouli of Tunisia, who previously won an Olympic gold medal from the pool. Do Carmo, however, failed to qualify for his supposedly second Olympics, after finishing in nineteenth place, with a time of 1:46:38.0. At the 2013 FINA World Championships in Barcelona, do Carmo finished seventh in the men's 10 km race. Later, in the team event, he won the bronze medal with the Brazilian team, along with Samuel de Bona and Poliana Okimoto. He also swam the 25 km race, finishing 5th, reaching 3 seconds behind the race winner. At the 2015 FINA World Championships in Kazan, he finished 9th in the 10 km marathon. Three days later, he won the silver medal in the Mixed 5km Team Event. On August 1, he finished 16th in the 25 km marathon. At the 2016 Summer Olympics, he finished in 18th place in the Men's marathon 10 kilometre. At the 2017 FINA World Championships in Budapest, he finished 13th in the 25 km marathon and 29th in the 10 km marathon. He also participated at the Mixed 5km Team Event, along with Viviane Jungblut, Ana Marcela Cunha and Fernando Ponte, finishing 6th. References External links Profile – UOL Esporte NBC Olympics Profile Category:1989 births Category:Living people Category:Brazilian male swimmers Category:Olympic swimmers of Brazil Category:Swimmers at the 2007 Pan American Games Category:Swimmers at the 2008 Summer Olympics Category:Swimmers at the 2016 Summer Olympics Category:Swimmers at the 2011 Pan American Games
</passage>

Follow these steps to complete the task:

1. Inserting retrieval tokens:
   a. Read through the text carefully.
   b. Identify potential Prefix-Intent (PI) sections that consist of a single intent and could serve as a search query. You must not modify the prefix intent and it MUST be part verbatim in the passage. It cannot be single or only a few words.
   c. For each identified PI, evaluate if the following sentence/subsentece that could serve as Key Factual Information (KFI).
   d. Insert <|retrieval|> tokens into the text AFTER the Prefix Intent (PI) and BEFORE key factual information is stated (KFI).
   e. Key Factual information should not intersect with Prefix Intent.

2. Identifying Prefix-Intent (PI) and Key Factual Information (KFI):
   a. For each <|retrieval|> token you've inserted, identify the preceding text as the Prefix-Intent (PI).
   b. Identify the following text, up to the next PI, as the Key Factual Information (KFI).
   c. Ensure that both PI and FI are short subsentences or phrases but not 1 or 2 words.

3. Insert <|start-PI|>,<|end-PI|>, <|start-KFI|>, <|end-KFI|>.
   a. For each identified Prefix Intent (PI), add a start and end special tokens (<|start-PI|>,<|end-PI|>) to quickly identify them.
   b. Do the same for the Key Factual Information (KFI) (<|start-KFI|>, <|end-KFI|>)
   c. Ensure that the very first PI in the passage is preceded by <|start-PI|>.
   d. Double-check that every PI and KFI is properly enclosed in these tags.

4. Describing ideal retrieved information:
   a. Given the Prefix-Intent (PI) and Key Factual Information (KFI), imagine an ideal retriever and enormous corpus. 
   b. Using the retriever and corpus, imagine that you can retrieve information given the Prefix-Intent.  
   c. Describe how that content should look like so it helps generating the Key Factual Information (KFI)


5. Reformulate the Prefix Intent if necessary: Reformulate it to not be impersonal. This means that if the subject it is not identified (e.g. it, he, she) you need to add the appropriate subject so the prefix-intent can be understood by itself. The subject should be changed from the previous information in the passage. Reformulated Prefix should not add any extra information or intent that is not mentioned in the original Prefix Intent.


6. Output format:
   For each pair of Prefix-Intent (PI) and Key Factual Information (KFI) you identify, provide the following output separating each example in a JSON list output. Ensure that it is actually a JSON.

   - Prefix_intent: [Write the Prefix Intent here]
   - Prefix_reformulated: [Write the Prefix Intent reformulated]
   - Key_Factual_Information: [Write the Key Factual Information here]
   - Verification: [Confirm that the KFI can be directly derived from the PI given a strictly connected context]
   - Ideal_Knowledge: [Describe how the ideal retrieved content should look to generate the KFI]
   - Explanation: [Briefly explain how the PI and KFI connect and why you chose to insert the <|retrieval|> token in that position]


7. Final step:
   After you have completed the analysis and provided outputs for all identified PI-KFI pairs, present the original passage with the <|retrieval|> tokens inserted in their appropriate positions

Here's an example of the expected output format:

Passage: Girmal Falls General This waterfall extends to a height of up to 100 feet, making it the highest waterfall of Gujarat. The picturesque beauty of this site makes it popular among visitors and people of the region alike. The water swiftly falls from a great height, creating a fog like condition that’s eye catching. The government of this state is working on many projects to make this place an ideal picnic spot and a tourist attraction. The fall comes to its best form at the time of monsoon and provides an immensely striking appearance. Some of the best natural features of Gujarat can be explored in this place. This place is a nice and refreshing retreat for any traveler.

```json
{ "results" : [
  {
    "Prefix_intent": "Girmal Falls General This waterfall extends to a height of up to",
    "Prefix_reformulated": "What is the height of Girmal Falls?",
    "Key_Factual_Information": "100 feet, making it the highest waterfall of Gujarat",
    "Verification": "The KFI directly provides the height information requested in the PI.",
    "Ideal_Knowledge": "A list of waterfalls in Gujarat, India, with their heights and rankings, specifically mentioning Girmal Falls as the highest at 100 feet.",
    "Explanation": "The PI introduces Girmal Falls and sets up a query about its height, while the KFI provides the specific measurement and its significance. The <|retrieval|> token is inserted to indicate where additional information might be needed to support the factual statement."
  },
  {
    "Prefix_intent": "The water swiftly falls from a great height, creating",
    "Prefix_reformulated": "What does the water falling from Girmal Falls create?",
    "Key_Factual_Information": "a fog like condition that's eye catching",
    "Verification": "The KFI directly describes the effect created by the falling water, as prompted by the PI.",
    "Ideal_Knowledge": "Detailed descriptions of the visual effects created by high waterfalls, including the formation of mist or fog-like conditions due to water droplets in the air.",
    "Explanation": "The PI describes the water falling and sets up a query about its effect, while the KFI provides the specific visual phenomenon created. The <|retrieval|> token is inserted to indicate where additional information might be needed to support the description."
  },
  {
    "Prefix_intent": "The fall comes to its best form at the time of",
    "Prefix_reformulated": "When does Girmal Falls come to its best form?",
    "Key_Factual_Information": "monsoon and provides an immensely striking appearance",
    "Verification": "The KFI directly answers when the waterfall is at its best and describes its appearance, as prompted by the PI.",
    "Ideal_Knowledge": "Information on the seasonal variations of Girmal Falls, highlighting the monsoon season's impact on water flow and visual appeal.",
    "Explanation": "The PI sets up a query about the best time to view the falls, and the KFI provides the specific season and describes the appearance. The <|retrieval|> token is inserted to indicate where additional information about seasonal changes might be needed."
  }],
"Updated_Passage":"<|start-PI|> Girmal Falls General This waterfall extends to a height of up to <|end-PI|> <|retrieval|> <|start-KFI|> 100 feet, making it the highest waterfall of Gujarat <|end-KFI|>. The picturesque beauty of this site makes it popular among visitors and people of the region alike. <|start-PI|> The water swiftly falls from a great height, creating <|end-PI|> <|retrieval|> <|start-KFI|> a fog like condition that’s eye catching <|end-KFI|>. The government of this state is working on many projects to make this place an ideal picnic spot and a tourist attraction. <|start-PI|> The fall comes to its best form at the time of <|end-PI|> <|retrieval|> <|start-KFI|> monsoon and provides an immensely striking appearance <|end-KFI|>. Some of the best natural features of Gujarat can be explored in this place. This place is a nice and refreshing retreat for any traveler."
}

```
8. Final check:
  a. Review the Updated_Passage to ensure all PIs and KFIs are properly tagged.
  b. Verify that the first PI in the passage starts with <|start-PI|>.
  c. Make sure there are no missing or misplaced tags.
 
Remember to analyze the entire passage, identify all relevant PI-KFI pairs, and provide the output for each pair as specified. After completing the analysis, present the original passage with the <|retrieval|> tokens inserted in their appropriate positions as part of a new key in the JSON file. Only Ouput the JSON File.