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>
a spoof of George Clooney. He is a recycled version of the warthog puppet that was used for Bernice the Warthog and Warren the Warthog from Jim Henson's Animal Show. Gordon LeClair (performed by Drew Massey) – Gordon LeClair is a reindeer from Canada who works as a journalist at "The Canuck Chronicle." He is a recycled version of Andrew the Reindeer from Jim Henson's Animal Show. Gulag (performed by Michael Oosterom in most episodes, Victor Yerrid in episode 31) – Gulag is a stray dog who came from Sochi, Russia and is adjusting to life in the United States. He is stated to be a Chernobyl Terrier (which is 10% Scottish Terrier, 10% Labrador Retriever, 10% nuclear waste, and the rest of it is Puggle) during his interview with Paul. He is a recycled version of Herman Monster from Puppet Up!. Haardvark (voiced by Victor Yerrid) – Haardvark is an aardvark who is Christian rapper and his real name is Stuart Dilworth. He is a recycled version of the aardvark puppet that was used for Arlene the Aardvark and Dullard the Aardvark from Jim Henson's Animal Show. Hot Dog (performed by Victor Yerrid) – Hot Dog is a talking hot dog in a moustache who is an actor, a model, and the host of the talk show "Speaking Frankly." In "Shut Up 2013," it is revealed that Hot Dog can't tell the difference between Morgan Freeman and Nelson Mandela. He is a recycled version of a hot dog from CityKids. Jeff Marks (performed by Brian Clark) – Jeff Marks is a bear in a goatee who is an entertainment correspondent, owner of the blog "What's Ursine Hollywood," and an internet celebrity. He is a recycled version of the bear puppet that was previously used for Bunnie the Bear from Jim Henson's Animal Show and Max Bear in Episode 4193 of Sesame Street. Joe Lunchpail (performed by Drew Massey) – Joe Lunchpail is a living lunchpail who is a populist political commentator. Judy Goodstuff (performed by Victor Yerrid) – Judy Goodstuff is a sheep who is a newsbuster. L.R. Doll (performed by Colleen Smith) – L.R. Doll is a doll who is an adorable child's toy, a 2014 Scripts Toy Spelling bee champion, and the youngest member of Mensa International. She is a recycled version of Raisin from Secret Life of Toys. Laura Spots (performed by Donna Kimball) – Laura Spots is a jaguar who is a legal expert. She is a recycled version of Jasper the Jaguar from Jim Henson's Animal Show. Marlon (performed by Victor Yerrid) – Marlon is a salmon who is a contributor to a socialist blog called "The Dissident." Marlon can't stay out of water for long and would suffocate if he is not given water to survive. He is a recycled version of Yorick the Salmon from Jim Henson's Animal Show. Matt Rosenberg (performed by Bruce Lanoil) – Matt Rosenberg is a boy who is one of the youngest billionaires and the creator of the "iPhart" App. He is a recycled version of the boy Whatnot puppet that was previously used for Annie DeLoo from The Wubbulous World of Dr. Seuss and Billy from Statler and Waldorf: From the Balcony. Ned Cooper (performed by Drew Massey) – Ned Cooper is a grouper and science edutatiner who is nicknamed "The Science Grouper." Oliver Pouch (performed by Michael Oosterom) – Oliver Pouch is an opossum congressman who is the Representative of Texas and has a tendency to play dead. He is a recycled version of Ernie the Mongoose from Jim Henson's Animal Show. P.W. Butz (performed
</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.