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>
a park and historic site. 1987 – The first Montreal Museums Day. 1987 – Montreal deluge: more than 100 mm of rain in 2 hours transforms the sunken Decarie autoroute expressway into a river. 1987 – Promenades Cathédrale constructed. 1987 – Montreal Protocol enters into force. 1989 – École Polytechnique massacre occurs on December 6. Marc Lépine murders fourteen women and wounds ten other women and four men. 1989 – Canadian Space Agency formed on December 14. 1990 – Oka Crisis. 1992 – 1000 de La Gauchetière built; it is Montreal's highest skyscraper. 1992 – Concordia University massacre on August 24. Valery Fabrikant kills four people. 1992 – World Trade Centre Montreal completed. 1992 – Aéroports de Montréal founded. 1992 – Lion de la Feuillée was donated by the city of Lyon on the occasion of the 350th anniversary of Montreal. 1993 – Casino de Montréal opened. 1995 – Unity rally held in advance of the Quebec independence referendum. 1996 – Fantasia Festival founded. 1997 – McGill University Health Centre founded. 1998 – Record-setting North American ice storm of 1998 afflicts Montreal and other parts of Quebec. 1999 – Montreal Convention is adopted by the ICAO. 1999 – Montreal Economic Institute established. 1999 – World Anti-Doping Agency set up on November 10. 21st century 2001–2019 2001 – Reorganization of Montreal. 2001 – According to Statistics Canada, in 2001, the city of Montreal has 1,583,590 inhabitants. 2001 - Six Flags acquires La Ronde. 2002 – Montreal is merged with the 27 surrounding municipalities on the Île de Montréal on January 1. The merger creates a unified city covering the entire Île de Montréal. 2002 – Official reopening of the Lachine Canal exclusively for pleasure boating, May 17. 2002 – Concordia University Netanyahu riot, September 9. 2004 – Several former municipalities, totalling 13% of the population of Île de Montréal, vote to leave the newly unified city in separate referendums in June. 2004 – Passenger operations through Montréal-Mirabel International Airport cease on October 31. 2005 – Montreal hosts the FINA World Aquatic Championships 2006 – The demerger becomes effective January 1. Fifteen municipalities remain on the island. 2006 – 2006 World Outgames take place from July 26 to August 5. 2006 – Declaration of Montreal on July 29. 2006 – Dawson College shooting on September 13. Kimveer Gill kills one student and wounds nineteen others before being winged by a police sniper and committing suicide. 2006 – De la Concorde overpass collapse on September 30. 2007 – Montreal is host to a series of preliminary games of the FIFA U-20 World Cup 2009 – BIXI launched in May. 2011 – 2011 Montreal Museum of Fine Arts theft. On two occasions in September and October, a thief steals a small antiquity from the museum 2012 – Charbonneau Commission begins examining corruption in Montreal civic governance and collusion among major engineering and construction firms bidding for municipal contracts. 2012 – Gérald Tremblay steps down as mayor in November after allegations of serious irregularities in party financing. Michael Applebaum becomes interim mayor until municipal elections in November 2013 2013 – Michael Applebaum is arrested and indicted with 14 charges including fraud and corruption. He steps down. City councillors elect Laurent Blanchard to serve as mayor for the four months remaining before the municipal elections. 2013 – Denis Coderre elected mayor of Montreal 2015 – Some matches of the FIFA Women's World Cup are held in Montreal at the Olympic stadium. 2017 – Montreal celebrated its 375th anniversary 2017 – Valérie Plante, Montreal's 45th and first female mayor, elected. See also History of Montreal List of
</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.