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>
Jay Cutler (bodybuilder) Jason Isaac Cutler (born August 3, 1973) is an American IFBB professional bodybuilder. He is a four-time Mr. Olympia winner (2006, 2007, 2009, and 2010). Biography Cutler worked in his brother's concrete construction business, Cutler Bros. Concrete, from the age of 11. He began training when he was 18 years old as a senior at Wachusett Regional High School. He graduated from Quinsigamond Community College in 1993 with a degree in criminal justice, intending to work as a corrections officer for a maximum security prison. He was inspired to enter bodybuilding after meeting personal trainer Marcos Rodriguez. Cutler excelled in bodybuilding, desiring to be one of the largest competitors ever, and took his first overall win in 1993 at the Iron Bodies Invitational. His first contest was the 1992 Gold's Gym Worcester Bodybuilding Championships, at which he took second place. As he established a name for himself in the bodybuilding scene, he often appeared in bodybuilding-related videos including Battle for the Olympia 2001, a pre-contest documentary video directed by Mitsuru Okabe that highlighted many competitors as they prepared for the 2001 Mr. Olympia Competition. He went on to win consecutive Arnold Classic titles in 2002, 2003, and 2004, and placed second to Ronnie Coleman in the Mr. Olympia competition four times before claiming the title for the first time in 2006. At the 2001 Mr. Olympia, Cutler tested positive for banned diuretics, but sued and had his second-place finish reinstated. Cutler won the Olympia for a second consecutive year in 2007. He became the third Mr. Olympia in history (after Arnold Schwarzenegger and Franco Columbu) to win the title in non-consecutive years after defeating the reigning champion Dexter Jackson in 2009. In 2010, he won his fourth Mr. Olympia title, defeating Phil Heath. In 2011, Cutler was runner-up to Heath at the Mr. Olympia. In 2012, Cutler was unable to compete at the Mr. Olympia due to a biceps injury. Cutler competed in the 2013 Olympia and placed 6th. Cutler has since focused on his business venture, Cutler Nutrition, which specializes in bodybuilding nutritional supplements, in addition to his social media presence. Personal life Cutler resides in Las Vegas, Nevada. He has been featured on the cover of several fitness magazines such as Muscle and Fitness, Flex, and Muscular Development. Stats Height: Off Season Weight: Competition Weight: Upper Arm Size: Chest Size: Thigh Size: Waist Size: Calf Size: Bodybuilding titles 1993 NPC Iron Bodies Invitational – Teenage & Men's Middleweight 1993 NPC Teen Nationals – Middleweight 1995 NPC U.S. Tournament of Champions – Men's Middleweight and Overall 2000 IFBB Night of Champions 2002 Arnold Classic 2003 Arnold Classic 2003 Ironman Pro Invitational 2003 San Francisco Pro Invitational 2003 Dutch Grand Prix. 2003 British Grand Prix 2004 Arnold Classic 2006 Austrian Grand Prix 2006 Romanian Grand Prix 2006 Dutch Grand Prix 2006 Mr. Olympia 2007 Mr. Olympia 2009 Mr. Olympia 2010 Mr. Olympia Competitive placings 1992 Gold Gym Worcester Bodybuilding Championships – 2nd 1996 NPC Nationals, 1st place Heavyweight (earned IFBB pro card) 1998 IFBB Night of Champions – 11th 1999 Arnold Schwarzenegger Classic – 4th 1999 IFBB Ironman Pro Invitational – 3rd 1999 Mr. Olympia – 14th 2000 English Grand Prix – 2nd 2000 Joe Weider's World Pro Cup – 2nd 2000 Mr. Olympia – 8th 2000 Mr. Olympia Rome – 2nd 2001 Mr. Olympia – 2nd 2003 Mr. Olympia – 2nd 2003 Russian Grand Prix – 2nd 2003 GNC Show of Strength – 2nd 2004 Mr. Olympia – 2nd 2005 Mr. Olympia – 2nd 2006 Mr. Olympia – 1st 2007 Mr. Olympia – 1st 2008 Mr.
</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.