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>
is bordered by large pine trees and a large lawn space, but is afflicted by the roar of nearby Geyser Creek, which creates serious acoustical problems. Inside the amphitheater is seating for 5100, the lawn can easily hold an additional 20,000 people. The park is also home to the National Museum of Dance and Hall of Fame, the Saratoga Automobile Museum, the Lincoln Mineral Baths and Spa, and the Gideon Putnam Resort & Spa. Skateboard Park The Saratoga Skatepark (est. 1988), located in the center of the East Side Recreation area on Lake Avenue, is New York State's first municipal skatepark. The exercise facility is known for its concrete skateboard pool, installed with a state-of-the-art design in 2004 and has metal ramps as well. In 2010 the city filled the pool with dirt, citing problems with graffiti, vandalism and unconfirmed structural issues affecting the skating surface. In addition, the city said that they lacked funds to staff guards at the park and claimed it had spent nearly $200,000 on the park since it opened in 1988. After a group of skateboarders lobbied the city and publicly offered to dig out the pool by hand, the city excavated it in November 2011. The skatepark is now free, open to the public and endorses a skate-at-your-own-risk policy per the New York Recreational Use Statute. In popular culture Saratoga Springs, Saratoga Race Course, and Saratoga society are frequently featured on-screen and mentioned in films and television. Films shot in and around Saratoga Springs 12 Years a Slave (2013) – Chiwetel Ejiofor, Lupita Nyong'o, Michael Fassbender, Benedict Cumberbatch A Dog Year (2009) – Jeff Bridges, Lauren Ambrose Aftermath (2008) – Chris Penn's last film Ass Backwards (2013) – Casey Wilson, June Diane Raphael, Alicia Silverstone, Jon Cryer Billy Bathgate (1991) – Dustin Hoffman, Nicole Kidman; the Kidman dancing scene was shot at the Hall of Springs Feast of Friends (1970) – The Doors' self-produced documentary; features lengthy concert footage at SPAC (on 9/1/68) and Jim Morrison reciting poetry backstage Ghost Story (1981) – Fred Astaire, John Houseman; houses on North Broadway were used as homes in this film. Cast included Fred Astaire, John Houseman, and Douglas Fairbanks, Jr. The Homestretch (1947) – Maureen O'Hara, Cornel Wilde Lolita (1962) – James Mason, Shelley Winters My Old Man (1979) – Kristy McNichol, Warren Oates, Eileen Brennan; made-for-TV movie, based on an Ernest Hemingway story, was filmed at Saratoga Race Course, various locations in Saratoga Springs, and throughout Saratoga County. Nobody's Fool (1994) – Paul Newman, Bruce Willis Paul's Case (1980) – Eric Roberts, Lindsay Crouse Saratoga (1937) – Clark Gable, Lionel Barrymore, Jean Harlow; notable for being Harlow's last film, as she collapsed on set during filming and died. Racing scenes were filmed at the Saratoga Race Course. Saratoga Trunk (1945) – Gary Cooper, Ingrid Bergman; while it was set in Saratoga, it was not filmed there. Seabiscuit (2003) – Tobey Maguire, Jeff Bridges; racing scenes shot at the Saratoga Race Course in November 2002. The Horse Whisperer (1998) – Robert Redford, Scarlett Johansson; special effects for the horse and rider accident were shot at the southern end of Saratoga Spa State Park. Also, a room at the Gideon Putnam Hotel was made into a shoddier motel room. The Skeptic (2009) – Tom Arnold, Zoe Saldana The Time Machine (2002) – Guy Pearce, Samantha Mumba The Way We Were (1973) – Robert Redford, Barbra Streisand; scenes also shot in nearby Ballston Spa Virgin Alexander (2011) – Rich Faugno, Paige Howard, Bronson Pinchot Radio Saratoga Springs was the setting for a radio soap opera by the same
</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.