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>
school at Strake Jesuit College Preparatory in Houston; at one point, approximately 420 displaced students attended classes at night with their own teachers and classmates. In mid-October, Jesuit opened another satellite school at St. Martin's Episcopal School in Metairie in unincorporated Jefferson Parish, Louisiana, which about 500 students attended until Thanksgiving. After Thanksgiving, Jesuit's students and faculty returned to their own campus, becoming the first flooded school in New Orleans to reopen – albeit with an unusable first floor. The school held its annual Thanksgiving Drive for the poor living in the surrounding neighborhoods. On 23 January 2006, 1285 of the 1450 students returned to attend Jesuit for the second semester. After the Hurricane Maria in Puerto Rico in 2017, Jesuit hosted students from the island. Notable alumni In chronological order: Edward Douglass White (Class of 1865), Chief Justice of the United States Larry Gilbert (Class of 1910), MLB player (Boston Braves) F. Edward Hebert (Class of 1920), U.S. Congressman (1940–1976) Charlie Gilbert (Class of 1937), MLB player (Brooklyn Dodgers, Chicago Cubs, Philadelphia Phillies) Fats Dantonio (Class of 1938), MLB player (Brooklyn Dodgers) Connie Ryan (Class of 1938), MLB player (New York Giants, Boston Braves, Cincinnati Reds, Philadelphia Phillies, Chicago White Sox) and MLB manager (Texas Rangers, Atlanta Braves) Jimmy Fitzmorris (Class of 1939), Lieutenant Governor of Louisiana (1972–1980) Ray Coates (Class of 1943), MVP 1947 Cotton Bowl, member of LSU’s 1946 Southeastern Conference championship baseball team Adrian Duplantier, (Class of 1945), District Court judge (1978–2007), four-term Louisiana State Senator (1960–1974) Putsy Caballero (Class of 1946), MLB player (Philadelphia Phillies) Tookie Gilbert (Class of 1947), MLB player (New York Giants) John Petitbon (Class of 1947), Notre Dame and National Football League player Donald Wetzel (Class of 1947), inventor of the modern, networked Automated Teller Machine (ATM) Moon Landrieu (Class of 1948), Mayor of New Orleans (1970–1978) and Secretary of Housing and Urban Development John Grenier (Class of 1948), Alabama attorney and Republican Party figure Clyde F. Bel, Jr. (Class of 1951), businessman and state representative for Orleans Parish, 1964–1972 and 1975–1980 Marv Breeding (Class of 1952), MLB player (Baltimore Orioles, Washington Senators, Los Angeles Dodgers) John Favalora (Class of 1954), Archbishop of Miami, Florida (1994–2010) John Volz (Class of 1954), attorney for United States District Court for the Eastern District of Louisiana A. J. McNamara (Class of 1954), member of Louisiana House of Representatives, 1976–1980; judge for U.S. District Court, 1982–2001 Richie Petitbon (Class of 1955), Tulane University and National Football League player, Washington Redskins head coach, won four NFL championships Rusty Staub (Class of 1961), Major League Baseball player, 6-time All-Star, New York Mets Hall of Fame Pat Screen (Class of 1961), state champion 1960, LSU quarterback, Mayor-President of East Baton Rouge Parish (1981–1988) Charles D. Lancaster Jr. (Class of 1961), New Orleans attorney and Republican member of Louisiana House of Representatives Jim Donelon (Class of 1962), Louisiana insurance commissioner Jay Thomas (Class of 1966), actor (Eddie LeBec of Cheers, Murphy Brown) and radio personality (Sirius Satellite Radio, Channel 104 M-TH, Channel 101 F) Jay Zainey (Class of 1969), Federal District Court judge, appointed by President George W. Bush Steve Foley (Class of 1971), NFL player (Denver Broncos) Jim Gaudet (Class of 1973), MLB player (Kansas City Royals) Michael T. Dugan (Class of 1975), educator and accounting scholar Ellis Henican (Class of 1976), journalist and voice actor ("Stormy" Waters of Sealab 2021) Christian LeBlanc (Class of 1976), actor (Michael Baldwin of The Young and the Restless) Marc Morial (Class of 1976), Mayor of New Orleans (1994–2002) Mitch Landrieu (Class of 1978), Mayor of New Orleans and son of former
</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.