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>
Gennady Padalka Gennady Ivanovich Padalka (; born 21 June 1958 in Krasnodar, Russia) is a Russian Air Force officer and an RKA cosmonaut. Padalka currently has the world record for the most time spent in space, having spent 879 days in space, more than any other person. He worked on both Mir and the International Space Station. Personal life Padalka is married to Irina Anatoliyevna Padalka (Ponomareva). They have three daughters: Yuliya, Yekaterina, and Sonya. He enjoys the theater, parachute sport and diving. Education and training Padalka graduated from Yeysk Military Aviation College in 1979. After graduation, he served as a pilot and later a senior pilot in the Russian Air Force, eventually attaining the rank of colonel. He has logged 1500 flight hours in six types of aircraft as a First Class Pilot in the Russian Air Force. In addition, he has performed more than 300 parachute jumps as an Instructor of General Parachute Training. Padalka also worked as an engineer-ecologist at the UNESCO International Center of Instruction Systems until 1994. He is an investigator for the Advanced Diagnostic Ultrasound in Microgravity Project, a US Government funded study investigating strategies for applying diagnostic telemedicine to space. Awards Padalka is a recipient of the Hero Star of the Russian Federation and the title of Russian Federation Test-Cosmonaut. He is decorated with Fatherland Service Medal fourth class, Medals of the Russian Federation and also Medal of the International Fund of Cosmonautics support for Service to Cosmonautics. Padalka is a prize winner of the Russian Federation Government in the field of science and technology. Cosmonaut career Gennady Padalka was selected as a cosmonaut candidate to start training at the Gagarin Cosmonaut Training Center in 1989. From June 1989 to January 1991, he attended basic space training and in 1991 was qualified as a test-cosmonaut. In April 2017, it was announced that Padalka had filed his resignation from the Roscosmos cosmonaut corps. Padalka himself explained his decision by the fact that he has only a small chance to join any space mission in the near future. "I had to resign. I am tired of doing nothing. There are no prospects that I will fly [to the International Space Station (ISS)]," he told TASS, explaining his decision. Mir Mission On 13 August 1998 Gennady launched with Sergei Avdeyev aboard Soyuz TM-28 to become the crew of Mir Expedition 26, whose primary mission was to make repairs to life support systems and prepare the station for deorbit, which was to take place after Expedition 27. On 8 February 1999 at 11:23 GMT Padalka and Avdeyev undocked from Mir's -X port in Soyuz TM-28, and redocked at the +X Kvant port at 11:39 GMT, freeing up the front port for the Soyuz TM-29 docking. He returned to Earth on board the Soyuz TM-28 capsule on 28 February 1999. The Soyuz TM-28 undocked from the Kvant rear docking port on 27 February at 22:52 GMT and landed in Kazakhstan on 28 February at 02:14 GMT. Padalka accumulated 198 days and 16 hours of space travel during the mission. ISS Missions From June 1999 to July 2000, Padalka trained for a space flight on a Soyuz-TM transport vehicle as an ISS contingency crew commander. From August 2000 to November 2001, he trained for a space flight as the Expedition 4 back-up crew commander. Expedition 9 In March 2002 Padalka was assigned as commander of the ISS Expedition 9 crew. Expedition 9 was launched from the Baikonur Cosmodrome, Kazakhstan aboard the Soyuz TMA-4 spacecraft, and docked with the ISS on 21 April 2004. Following a week of joint operations
</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.