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>
Aaton Digital Aaton Digital (formerly known as Aaton) is a French motion picture equipment manufacturer, based in Grenoble, France. History Aaton was founded by Eclair engineer Jean-Pierre Beauviala, whose efforts have been primarily focused on making quiet, portable motion picture hardware suitable for impromptu field use, such as for documentaries. A model for all motion picture cameras they have produced is the "cat-on-the-shoulder", a small, light, quiet motion picture camera. In the late 60's Beauviala was working as a professor of electronics in the University of Grenoble. With the project to make a movie about the evolution of the city and of its architecture, but unable to find the proper tools, Beauviala decided to create the camera himself. Though the movie would eventually be abandoned this led to the creation of Aaton in 1971. After several initial prototypes, the Aaton LTR 16 mm movie camera became available on the market in the late 1970s. It has been succeeded by several improved models, including the LTR, LTR 54, XTR, X0, XTRplus, and XTRProd. Aaton also pioneered the linking of timecode to motion pictures in the acquisition stage. Aatoncode was one of the earliest schemes for encoding a timecode signal in the frame margins of 16mm film, allowing rigorous synchronization of audio and film in post-production. As of January 2015, the currently available line of cameras offers the 16mm Xterà (along with its still used predecessors the XTR Prod), the A-Minima (a small camcorder-sized 16mm camera) and the 35mm Penelope (along with the still in use 35-III). Evolution and digital products (2004–present) In 2004 Aaton introduced the Cantar-X, a multichannel digital audio recorder designed to be used on location. In 2005/2006, the company started to test and exhibit the successor to the 35‑III, a quiet 35mm camera called Penelope. Specially designed with a native 2-perf camera system (with an optional kit to switch to 3-Perf), the Penelope eventually became available for purchase in October 2008. During the 2010 NAB Show Jean-Pierre Beauviala and AbelCine officially announced Aaton's first digital camera, called Delta Penelope. A fully functional prototype was exhibited at the NAB Show two years later, with plans for a limited test run in 2012 and an eventual release in 2013. Evolving from a variation of the Penelope (with a digital mag) to a new concept, the camera most notably featured a "cat-on-the-shoulder" inspired design and a Dalsa Super-35 CCD sensor (with a native 3.5K resolution) mounted on a specially developed/patented mechanism designed to bring unprecedented image quality, closer to what film provides. Recent developments and name change (2013-present) On April 26, 2013, an official statement was issued by founder Jean-Pierre Beauviala announcing that due to quality issues involving the Dalsa sensors for the planned Delta Penelope, the company had to declare bankruptcy so it could have time to find a new investor. In May 2013 Beauviala sent an e-mail detailing the situation of Aaton and explaining that despite the recent troubles the company was still functioning and mainly developing its next digital audio recorder (tentatively called Cantar-X+), and a digital-camera aiming at documentary-style filming (called D-Minima). On June 18, 2013, Transvideo acquired Aaton through its holding company ITHAKI. Still based in Grenoble and with the same development team, the new company now named Aaton Digital was then focusing on the release of their new digital recorder (the Cantar-X3) and planning the release of a new "cat-on-the-shoulder" (sic). On October 22, 2013, Jean-Pierre Beauviala left Aaton Digital/Transvideo where he was working as a consultant. This latest information engage only Jean-Pierre Beauviala as he never had any kind of formal cooperation with Aaton-Digital.
</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.