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>
Vincent Riotta Vincent Riotta (born 14 October 1960) is an English-born stage and film actor. Life and career Riotta is of Italian descent. He studied at the Royal Academy of Dramatic Art. He went on to perform in various stage plays, such as Shakespeare's Romeo, which was held at the Young Vic, Tennessee Williams' A Streetcar Named Desire, held at the Leicester Haymarket. Also, the twin roles of The Corsican Brothers at the Abbey in Dublin, and the lead role of Fridays at Seven at the Court Theatre in West Hollywood. His more notable television appearances include UK soap Coronation Street, The Bill (1990, series 6 episode 52 Close to Home) for Thames Television, New Tricks (2013, series 10 episode Rock the Boat parts one & two) for the BBC, JAG for NBC, Monk for USA Network, and Alias for ABC. In 2016 Riotta appeared in British mystery series Endeavor. Riotta's film credits include the independent mafia film Al Capone, for which he won the Best Actor award at the 1995 Barcelona Film Festival for his portrayal of the title character. In 2002, he played the lead role of Rico Morales in the drama Bella Bettien. He also holds many cameo appearances to his name in such high-profile films as Captain Corelli's Mandolin, starring Nicolas Cage and Penélope Cruz. However, universally he is probably best recognised as one of the lead male roles in the 2003 romantic-comedy Under The Tuscan Sun, starring Diane Lane and fellow Italian actor Raoul Bova. In the film, he plays Frances Mayes' (Diane Lane) first love interest upon arriving in Italy; a kind, well-reserved and married estate agent from whom she receives emotional support throughout the film. To the contrary, on the commentary of Under the Tuscan Sun, director Audrey Wells states that his character's persona was merely something he invented, as in reality he is boyishly energetic. Because of his frequent roles of portraying Italian men, critics and viewers often mistake him for being from Italy, when in fact he was born and brought up in Britain to Italian immigrants. He is fluent in Sicilian. He is married to casting director Teresa Razzauti. They live in London with their daughter, Emma Riotta. Filmography Inferno (2016) as Death Mask Guard In guerra per amore (2016) as James Maone , Major in USA Army Tender Eyes (2014) as Henry Romeo and Juliet (TV - 2014) as Capulet Rush (2013) Lauda's Mechanic Da Vinci's Demons (2013) Federico da Montefeltro, Duke of Urbino Goltzius and the Pelican Company (2011) Ricardo del Monte Zen (2011) Giorgio de Angelis Hustle Series 7 (2011) Carle Bachini Squadra antimafia – Palermo oggi (2009) Einstein (2009) as The NASA Operator Il Capo dei Capi (2007) as Tommaso Buscetta Nuclear Secrets (2007) as Brugioni The Moon and the Stars (2006) Tumiati The Listening (2006) Vaughan Unstoppable (2004) Detective Jay Miller Nel mio amore (2004) Jacques Nema problema (2004) Anselmo Lorenzi Belly of the Beast (2003) Fitch McQuad Under the Tuscan Sun (2003) Martini Bella Bettien (2002) Rico Morales Heaven (2002) Chief Guard The Good War (2002) Italian POW Captain Corelli's Mandolin (2001) (as Vincenzo Ricotta) Quartermaster Dancing at the Blue Iguana (2000) (as Vincent Ricotta) Customer The Hook-Armed Man (2000) (as Vincenzo Ricotta) Lou Ballad of the Nightingale (1998) (as Vincenzo Ricotta) Falling Sky (1998) (as Vince Ricotta) Mr. Hanes In Love and War (1996) (as Vincenzo Ricotta) Italian Officer A Little Worm (1995) Al Capone Ready to Kill (1994) (as Vincenzo Ricotta) Robert La Chance (1994) (as Vincenzo Ricotta) Nicola Il Quinto giorno (1994) (as Vincenzo Ricotta) Robert Leon the Pig Farmer (1993)
</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.