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>
However, Bourne manages to kill Bouksani before he can kill Nicky. After sending Nicky into hiding, Bourne examines the contents of Daniels' briefcase and finds the address of the deep-cover CIA bureau in New York City, where Vosen directs Blackbriar. Bourne travels to New York. Landy receives a phone call from Bourne, which is intercepted by Vosen. When Landy tells him that his real name is David Webb and gives him the birth date "4-15-71", Bourne tells Landy to "get some rest" because she looks tired, tipping off that he is in New York and watching her from an overlooking building. Vosen intercepts a text to Landy from Bourne of a location to meet up, and leaves his office with a tactical team. Bourne, however, waits for them all to leave, enters Vosen's office, and takes classified Blackbriar documents. When he realizes that he has been tricked, Vosen sends Paz after Bourne, but the resulting car chase ends with Bourne forcing Paz's car to crash into a concrete barrier. Bourne holds the injured Paz at gunpoint, but spares his life. Bourne arrives at a hospital at 415 East 71st Street, having figured out Landy's coded message. Outside, Bourne meets Landy and gives her the Blackbriar files before going inside. Vosen also figures out Landy's code and warns Dr. Albert Hirsch (Albert Finney), who ran Treadstone's behavior modification program, that Bourne is coming. He follows Landy inside the building but is too late to stop her from faxing the Blackbriar documents out. Meanwhile, Hirsch is confronted by Bourne on an upper floor, who now remembers that he volunteered for Treadstone. As Bourne flees to the roof, he is confronted by Paz, who asks, "Why didn't you take the shot?" Bourne asks Paz if he knows why he's supposed to kill him, and repeats the dying words of The Professor in The Bourne Identity: "Look at us. Look at what they make you give." Paz lowers his gun, but Vosen appears and shoots at Bourne as he jumps into the East River. Some time later, Nicky watches a news broadcast about the exposure of Operation Blackbriar, the arrests of Hirsch and Vosen, a criminal investigation against Kramer, and the whereabouts of David Webb, a.k.a. Jason Bourne. Upon hearing that his body has not been found after a three-day search of the river, Nicky smiles. Bourne is shown swimming away in the East River. Cast Matt Damon as Jason Bourne, a former operative for the black ops Operation Treadstone. Julia Stiles as Nicky Parsons, Bourne's former Treadstone contact in Paris. David Strathairn as Noah Vosen, CIA Deputy Director in charge of the new Treadstone black ops upgrade called Operation Blackbriar. Scott Glenn as Ezra Kramer, Director of the CIA. Paddy Considine as Simon Ross, a reporter for The Guardian who has been investigating Treadstone. Édgar Ramírez as Paz, a Blackbriar assassin. Albert Finney as Dr. Albert Hirsch, the psychologist who oversaw Treadstone's behavioral modification program. Joan Allen as Pamela Landy, CIA Deputy Director and Task Force Chief, sent in to aid Vosen in tracking down Bourne. Daniel Brühl as Martin Kreutz, Marie's brother Tom Gallop reprises his role as Special Agent Tom Cronin, Pamela Landy's assistant. Corey Johnson plays Ray Wills, Vosen's deputy at Operation Blackbriar. Joey Ansah plays Desh Bouksani, a Blackbriar asset tasked to kill Bourne in Tangier. Colin Stinton plays Neal Daniels, CIA Station Chief in Madrid and a former member of Treadstone, who observed David Webb's initiation into the project and his transition to Jason Bourne. Lucy Liemann plays Lucy, a Blackbriar technician. Franka Potente has an uncredited appearance
</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.