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>
km relay March 2, 2007 at the Shirahatayama Open Stadium. The defending champions of this event were the Norwegian foursome of Odd-Bjørn Hjelmeset, Frode Estil, Lars Berger, and Tore Ruud Hofstad which they successfully defended following a race in which the lead changed hands at the line on all four legs of the event. The top three after the first leg were Finland (who finished sixth), France (who finished fifth), and Norway with Finland's Ville Nousiainen having the fastest leg of 25:39.4. Leaders after the second leg were a tie for first with Norway and Sweden, followed by Russia with Sweden's Mathias Fredriksson having the fastest time of 24:45.5 (also the fastest time in the classical legs of the event). Russia, Norway, Sweden were the top three leaders after the third leg with Russian Alexander Legkov having the fastest time of 20:03.0 (also the fastest time in the freestyle legs of the event). Petter Northug of Norway had the fastest time in the anchor leg (20:15.1) to propel the Norwegians to the gold ahead of Russia and Sweden while Dementiev edged Södergren by 0.3 seconds to help Russia earn the silver over the Swedes. Women's event Individual sprint classical February 22, 2007 at the Sapporo Dome. Emelie Öhrstig of Sweden was the defending champion. Majdič led for almost the entire race, with 20-year-old Jacobsen in second ahead of the season's dominant skier Kuitunen. In the final dash, Jacobsen came from behind to nip Majdič at the line. Majdič won Slovenia's first ever medal in cross-country skiing at the World Championships. Team sprint freestyle February 23, 2007 at the Sapporo Dome. The defending champions in the event were the Norwegian duo of Hilde Gjermundshaug Pedersen and Marit Bjørgen. Kuitunen and Jacobsen earned their second medals of the championships. 10 km freestyle interval start February 27, 2007 at the Shirahatayama Open Stadium. The Czech Republic's Kateřina Neumannová was the defending champion, and avenged her defeat to Zavyalova in the pursuit race by leading the entire race to win by 26.5 seconds. Neumannová led the entire race while Savialova and Norway's Kristin Størmer Steira were second and third at all three checkpoints. In the final kilometres, Arianna Follis rallied by gaining 11 seconds in the final 1.7 km to beat Steira by four seconds. Zavyalova managed to hold on by finishing 3.7 seconds faster than Follis, but a couple of minutes later Neumannová finished in first place to defend her title. 7.5 km + 7.5 km double pursuit February 25, 2007 at the Shirahatayama Open Stadium. Russia's Julija Tchepalova had been the defending champion, but was not defending her title due to being on maternity leave. The top three skiers leading at the end of the classical portion were Charlotte Kalla of Sweden (she finished seventh), Kristin Størmer Steira of Norway, and Justyna Kowalczyk of Poland (she finished ninth). Størmer Steira led the field through the first lap of the free style leg of the pursuit, with the lead group down to four in the last lap, including Steira, Olga Zavyalova, Kateřina Neumannová and Evi Sachenbacher-Stehle. Zavyalova led for the entire final lap, and held on in the dash for the finish, while Sachenbacher-Stehle could not keep up with the group and finished fourth. World Cup leader Virpi Kuitunen lost contact with the leading group at the end of the classical leg and did not finish the race. 30 km classical mass start March 3, 2007 at the Shirahatayama Open Stadium. Marit Bjørgen of Norway was the defending champion and would finish ninth. Defending Olympic champion Kateřina Neumannová of the Czech Republic did
</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.