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>
Ducati (company) Ducati is a group of companies, best known for manufacturing motorcycles and headquartered in Borgo Panigale, Bologna, Italy. The group is owned by German automotive manufacturer Audi through its Italian subsidiary Lamborghini, which is in turn owned by the Volkswagen Group. The group currently comprises four companies: Ducati Motor Holding S.p.A., a motorcycle-manufacturing division previously known as Ducati Meccanica Ducati Corse, which runs the Ducati motorcycle racing program and is wholly owned by Ducati Motor Holding Ducati Energia, formerly known as Ducati Elettronica, a designer and manufacturer of electrical and electronic components and systems Ducati Sistemi, a subsidiary of Ducati Energia, which provides electronic and information-technology products for road transport, railway transport, and transport automation applications In the 1930s and 1940s, Ducati manufactured radios, cameras, and electrical products such as razors. Ducati also made a marine binocular called the BIMAR for the Kriegsmarine during World War II, some of which were sold on the civilian market after the war. The Ducati Sogno was a half-frame Leica-like camera which is now a collector's item. Ducati and Bianchi have developed and launched a new line of racing bicycles. Ducati Motor Holding often uses electrical components and subsystems from Ducati Energia. History In 1926 Antonio Cavalieri Ducati and his three sons, Adriano, Marcello, and Bruno Cavalieri Ducati; founded Società Scientifica Radio Brevetti Ducati in Bologna to produce vacuum tubes, condensers and other radio components. In 1935 they had become successful enough to enable construction of a new factory in the Borgo Panigale area of the city. Production was maintained during World War II, despite the Ducati factory being a repeated target of Allied bombing. The company started manufacturing motorcycle-related items when in 1950, manufacturing the "Cucciolo", an engine for mounting on bicycles, for a small Turinese firm, SIATA (Societa Italiana per Applicazioni Tecniche Auto-Aviatorie), later selling a product of their own based on the Cucciolo. In the following years, the company expanded their offer when the marked moved on to larger motorcycles. In 1953, management split the company into two separate entities, Ducati Meccanica SpA and Ducati Elettronica, in acknowledgment of its diverging motorcycle and electronics product lines. Ducati Elettronica became Ducati Energia SpA in the eighties. Dr. Giuseppe Montano took over as head of Ducati Meccanica SpA and the Borgo Panigale factory was modernized with government assistance. By 1954, Ducati Meccanica SpA had increased production to 120 bikes a day. In the 1960s, Ducati earned its place in motorcycling history by producing the fastest 250 cc road bike then available, the Mach 1. In 1985, Cagiva bought Ducati and planned to rebadge Ducati motorcycles with the "Cagiva" name. By the time the purchase was completed, Cagiva kept the "Ducati" name on its motorcycles. Eleven years later, in 1996, Cagiva accepted the offer from Texas Pacific Group and sold a 51% stake in the company for US$325 million; then, in 1998, Texas Pacific Group bought most of the remaining 49% to become the sole owner of Ducati. In 1999, TPG issued an initial public offering of Ducati stock and renamed the company "Ducati Motor Holding SpA". TPG sold over 65% of its shares in Ducati, leaving TPG the majority shareholder. In December 2005, Ducati returned to Italian ownership with the sale of Texas Pacific's stake (minus one share) to Investindustrial Holdings, the investment fund of Carlo and Andrea Bonomi. In April 2012, Volkswagen Group's Audi subsidiary announced its intention to buy Ducati for € (US$). Volkswagen chairman Ferdinand Piëch, a motorcycle enthusiast, had long coveted Ducati, and had regretted that he passed up an opportunity to buy the company from the
</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.