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>
(Mündig and Cotherstone) Morganette (Galtee More and Ard Patrick) Perdita II (Persimmon and Diamond Jubilee) Windmill Girl (Blakeney and Morston) Urban Sea (Galileo and Sea the Stars) Fastest winning time (at Epsom) – 2m 31.33s, Workforce (2010) Widest winning margin – 10 lengths, Shergar (1981) Longest odds winners – Jeddah (1898), Signorinetta (1908), Aboyeur (1913), 100/1 Shortest odds winner – Ladas (1894), 2/9 Most runners – 34 (1862) Fewest runners – 4 (1794) Winners Winning distances are shown in lengths or shorter (dh = dead-heat; shd = short-head; hd = head; snk = short-neck; nk = neck). Timeline 1805: One of the horses was brought down by a spectator. 1825: Middleton never raced before or after winning the Derby. 1838: Amato never raced before or after winning the Derby. 1844: The original winner Running Rein was disqualified as he was actually an ineligible four-year-old horse named Maccabeus. 1881: Iroquois became the first American-bred to win a leg of the British triple crown. 1884: The race finished with a dead-heat between Harvester and St. Gatien. 1887: Merry Hampton is the most recent horse to win the Derby with no previous victories. 1894: The winner was owned by the Prime Minister at the time, the 5th Earl of Rosebery. 1901: The first year in which a mechanical starting gate was used. 1909: Minoru was the first Derby winner owned by a reigning monarch, King Edward VII, who had previously won twice as Prince of Wales. 1913: The 6/4 favourite Craganour, owned by Charles B. Ismay, brother of J. Bruce Ismay of the Titanic, was controversially disqualified, and the race was awarded to the 100/1 outsider Aboyeur. Suffragette Emily Davison was struck by King George V's horse, Anmer, she died four days later. 1916: Fifinella, who also won The Oaks, is the most recent (as of 2017) of six fillies to win the race. The previous five were Eleanor (1801), Blink Bonny (1857), Shotover (1882), Signorinetta (1908), Tagalie (1912). 1921: The winner Humorist died two weeks after the race. 1927: The first Derby to be broadcast by the BBC. 1932: April the Fifth is the most recent winner trained at Epsom. 1946: Airborne is the most recent (as of 2017) of four grey horses to win the Derby. 1953: Pinza was the only winner in the race for the jockey Sir Gordon Richards, after 27 unsuccessful attempts. 1960: Although there had been an experimental TV transmission of the race in the early 1930s, regular television coverage of the Derby began this year, initially on both BBC and ITV. 1967: Starting stalls used for the first time. 1989: The runner-up Terimon is the longest-priced horse to finish placed in the Derby, at odds of 500/1. 1996: Alex Greaves became the first female jockey to ride in the race. She finished last of the 20 runners on the filly Portuguese Lil. 1998: The most recent (as of 2019) filly to take part, the 1,000 Guineas winner Cape Verdi, started as 11/4 favourite but could only finish ninth. 2006: Martin Dwyer's winning ride on Sir Percy subsequently won the Lester Award for "Flat Ride of the Year". 2007: Authorized provided jockey Frankie Dettori with his first winner in the Derby after 14 previous attempts. 2008: Jim Bolger, the trainer of the winner New Approach, had left the horse entered for the race "by mistake", having not initially intended to run. 2010: Workforce broke the Epsom track record winning in the time 2m 31.33s previously held by Lammtarra who set it in 1995 at 2m 32.31s. 2012: Aidan O'Brien and his 19-year-old son Joseph became the first
</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.