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>
the only person capable of yodelling in south Indian cinema,. Chandrababu loved western music and learned the art of yodelling by listening to singers such as Gene Autry and Hank Williams. In Chinna Durai, produced and directed by T. R. Mahalingam, he sang the song Poda Raja Podi Nadaya, the first time that yodelling had been heard in a South Indian film.Chandrababu was paid Rs 200 for his role in Mohana Sundaram. At his peak he was to command over Rs 100,000, becoming the first South Indian comedy actor to command such a sum. When A. V. Meiyappan filmed Sahodhari, he found that it lacked an ingredient that would ensure box office success. Chandrababu was called and after watching the film he added a comedy track for himself, wrote it and also sang the song Naan oru muttalunga, converting the film into a hit. It was Chandrababu who first spoke and popularised the Madras Baashai in films. He learned this dialect from the rickshaw pullers and street vendors near his home in Triplicane and later in Mir Sahib Pet. Sabaash Meena was one of the best Tamil comedy movies of its time, in which Chandrababu acted with Sivaji Ganesan, in dual roles. Chandrababu also established himself as a good singer. He was a playback singer rendering voice for himself in films. He lent his voice for S. Balachander for the song Kalyanam Kalyanam... Ullasamagave Ulagathil in Penn and for Sivaji Ganesan for the song Jolly Life Jolly Life in Kalyanam Panniyum Brammachari. Another song for Gundu Karuppaiah is I Love You I Love You in Andhaman Kaidhi. He sang under almost all of the music directors of the 1950s till the 1960s namely K. V. Mahadevan, T. G. Lingappa, G. Govindarajulu Naidu, S. V. Venkatraman, R. Sudharsanam, Viswanathan-Ramamoorthy, G. Ramanathan, S. M. Subbaiah Naidu, Vedha, S. Rajeswara Rao, T. R. Pappa, P. R. Mani, C. N. Pandurangan, Meenakshi Subramanyam and M. S. Viswanathan. He sang along duets mostly with K. Jamuna Rani and L. R. Eswari. Other singers include A. G. Rathnamala, Jikki, A. P. Komala, T. M. Soundararajan, P. B. Sreenivas, A. L. Raghavan, P. Suseela, P. Leela, Soolamangalam Rajalakshmi, K. Rani and Manorama. Marriage Chandrababu first met Sheila, an Anglo Indian and grand daughter of Coimbatore-based filmmaker Swamikannu Vincent at her residence and subsequently marriage was arranged in 1958. Famous film personalities and politicians including chief minister Kamaraj attended their marriage. The initial days of married life had gone well. One day Sheila confessed that she fell in love with another person. After learning this, Chandrababu was heartbroken and ended up in a confused state. In the subsequent days, she attempted suicide which was foiled by Chandrababu. Considering Sheila's fortune, they divorced formally. He continued to offer support to her until she left for London. After a few days, she married a doctor in London with the acceptance of Chandrababu by a letter communication. In a business mired by sycophancy, he chose not to mince his words and this restricted his opportunities from the 1960s onward. After this, he had decided to take a temporary break from his film career, and he went to Delhi without informing even his close friends. He spent those days consuming alcohol. Later he restarted his career in the industry despite his failed love and marriage. Financial misfortune Chandrababu had arranged with a financier, to direct his first film Maadi Veettu ezhai with M. G. Ramachandran as the hero. Eventually, he failed on this venture as Ramachandran failed to cooperate with him. The film project was also dropped. The reasons for Ramachandran's non-cooperation
</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.