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>
Yulia Makhalina Yulia Victorovna Makhalina (), also Yulia, (born 23 June 1968) is a Russian ballet dancer. Since 1986, she has been with the Kirov/Mariinsky Ballet where she is a principal dancer. Along with Ulyana Lopatkina, Makhalina is a member of 'the basketball team', a group of Kirov dancers who are characterized for being especially tall and slender. Biography Born in Leningrad, she trained under Marina A. Vasilieva at the Vaganova Academy of Russian Ballet, graduating in 1985. Her father, Viktor Makhalin, is an engineer and her mother Anna is an accountant. Makhalina's teachers at the academy reportedly told her she would be only a corps de ballet dancer and after graduation she had signed on with a company in Lvov, but she was accepted into the Kirov after attracting the notice of then artistic director Oleg Vinogradov. Makhalina danced the leading role of Medora in Le Corsaire during her first season with the company. Ghe was approached by Gennady Schreiber to learn the lead role in Swan Lake during her first year with the company, which was an unusual offer for an inexperienced dancer. Olga Moiseyeva, who was renowned for her interpretation of the white swan Odette coached Makhalina for the part. She was often partnered in this ballet by Andris Liepa. In 1990, her interpretation of Odette-Odile with partner Igor Zelensky was filmed at the Mariinsky Theater. A member of the Mariinsky Ballet since 1986, she has performed the leading roles in Swan Lake, Sleeping Beauty, Le Corsaire and Anna Karenina. Her repertoire has included the major classical ballets as well as works choreographed by George Balanchine including Theme and Variations, Scotch Symphony, Apollo, The Prodigal Son and Symphony in C. Makhalina's role debuts with the Kirov/Mariinsky included Myrtha (1986) and the title role (1991) in Giselle, Medora (1987) in Le Corsaire, Odette/Odile (1987) in Swan Lake, Gamzatti (1988) and Nikiya (1990) in La Bayadère, Kitri (1989) in Don Quixote, Lilac Fairy (1989) in Sleeping Beauty, title role (1994) in Raymonda, and Countess of Elba (1996) in Goya Divertissement. She has also performed the title roles in Roland Petit's Carmen and in Kenneth MacMillan's Manon. Exotic roles have included Zobeide in Scheherazade and Death in The Youth and Death, while supporting roles have included the evil stepmother in Cinderella. She has also performed as a soloist at the Royal Danish Ballet, Berlin's Deutsche Oper, the Teatro Colón in Buenos Aires and at the Paris Opera. In Moscow's Bolshoi Theatre, she has danced in Swan Lake, La Bayadère and The Firebird. In 2014, it was announced that Makhalina would return to Montreal's "Gala des Étoiles du ballet russe", known as "Don des Étoiles" in 1988 when she first appeared at the event. With a repertoire of 40 roles, Makhalina also has outside interests in areas such as architecture and nature. Reviews After a 1989 performance as Myrtha, the Queen of the Wilis in the ballet blanc scene of the Romantic ballet Giselle, a review published in New York Magazine described her as having "extraordinarily long limbs" and a "calm, majestic command" over her body while performing slower movements, but noted that her phrasing became "disconnected" while performing big leaps or petit allegro combinations that require fast footwork. That same year The Washington Post published a review praising her "voluptuous melanchony" in the White Swan Adagio excerpt from the second act of Swan Lake. During the Kirov Ballet's 1992 performance of Swan Lake at the Metropolitan Opera House in New York City, a reviewer for The New Leader wrote: "Although Makhalina is impressive standing still, when she moves one can
</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.