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>
Macavity Awards The Macavity Awards are a literary award for mystery writers. Nominated and voted upon annually by the members of the Mystery Readers International, the award is named for the "mystery cat" of T. S. Eliot's Old Possum's Book of Practical Cats. The award is given in four categories—best novel, best first novel, best nonfiction, and best short story. In recent years a new award, the Sue Feder Historical Mystery, has been given in conjunction with the Macavity Awards. Awards Best Mystery Novel 2018 - Magpie Murders, Anthony Horowitz 2017 - A Great Reckoning, Louise Penny 2016 - The Long and Faraway Gone, Lou Berney 2015 – The Killer Next Door, Alex Marwood 2014 – Ordinary Grace, William Kent Krueger 2013 – The Beautiful Mystery, Louise Penny 2012 – Claire DeWitt and the City of the Dead, Sara Gran 2011 – Bury Your Dead, Louise Penny 2010 – Tower, Ken Bruen and Reed Farrel Coleman 2009 – Where Memories Lie, Deborah Crombie 2008 – What the Dead Know, Laura Lippman 2007 – The Virgin of Small Plains, Nancy Pickard 2006 – The Lincoln Lawyer, Michael Connelly 2005 – The Killing of the Tinkers, Ken Bruen 2004 – The House Sitter, Peter Lovesey 2003 – Winter and Night, S. J. Rozan 2002 – Folly, Laurie R. King 2001 – A Place of Execution, Val McDermid 2000 – The Flower Master, Sujata Massey 1999 – Blood Work, Michael Connelly 1998 – Dreaming of the Bones, Deborah Crombie 1997 – Bloodhounds, Peter Lovesey 1996 – Under the Beetle's Cellar, Mary Willis Walker 1995 – She Walks These Hills, Sharyn McCrumb 1994 – The Sculptress, Minette Walters 1993 – Bootlegger's Daughter, Margaret Maron 1992 – I.O.U., Nancy Pickard 1991 – If Ever I Return Pretty Peggy-O, Sharyn McCrumb 1990 – A Little Class on Murder, Carolyn Hart 1989 – A Thief of Time, Tony Hillerman 1988 – Marriage is Murder, Nancy Pickard 1987 – A Taste for Death, P. D. James Best First Mystery 2018 - The Lost Ones, Sheena Kamal 2017 - IQ, Joe Ide 2016 - Past Crimes, Glen Erik Hamilton 2015 – Invisible City, Julia Dahl 2014 – A Killing at Cotton Hill, Terry Shames 2013 – Don't Ever Get Old, Daniel Friedman 2012 – All Cry Chaos, Leonard Rosen 2011 – Rogue Island, Bruce DeSilva 2010 – The Sweetness at the Bottom of the Pie, Alan Bradley 2009 – The Girl with the Dragon Tattoo, Stieg Larsson 2008 – In the Woods, Tana French 2007 – Mr. Clarinet, Nick Stone 2006 – Immoral, Brian Freeman 2005 – Dating Dead Men, Harley Jane Kozak 2004 – Maisie Dobbs, Jacqueline Winspear 2003 – In the Bleak Midwinter, Julia Spencer-Fleming 2002 – Open Season, C. J. Box 2001 – A Conspiracy of Paper, David Liss 2000 – Inner City Blues, Paula L. Woods 1999 – Sympathy for the Devil, Jerrilyn Farmer 1998 – Dead Body Language, Penny Warner 1997 – Death in Little Tokyo, Dale Furutani 1996 – The Strange Files of Fremont Jones, Dianne Day 1995 – Do Unto Others, Jeff Abbott 1994 – Death Comes as Epiphany, Sharan Newman 1993 – Blanche on the Lam, Barbara Neely 1992 – (tie) Murder on the Iditarod Trail, Sue Henry and Zero at the Bone, Mary Willis Walker 1991 – Postmortem, Patricia Cornwell 1990 – Grime and Punishment, Jill Churchill 1989 – The Killings at Badger's Drift, Caroline Graham 1988 – The Monkey's Raincoat, Robert Crais 1987 – (tie) The Ritual Bath, Faye Kellerman and A Case of Loyalties, Marilyn Wallace Best Nonfiction Note: Until 2004, this category was named "Best Critical/Biographical Mystery
</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.