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>
while keeping popular numbers to a minimum, specializing in vivadi (dissonant) ragas rarely attempted by most popular musicians of his time and full of musical complexities. He became a specialist in the handling of vivadi ragas and popularized the Śruti bhedam technique (modal shift of tonic note) introduced by his guru. He used nadais (transposed rhythmic patterns) extensively and unfortunately to the uninformed audience, his concerts are painstakingly challenging to be understood and interpreted. His renditions of vivadi ragas like Chandrajyothi, Sucharitra, Hamasanadam are well loved by the connoisseur and the informed audience for the musical weight Kalyanaraman's genius had given. The buzz word that went around was "if it was easy, Kalyanaraman would not do it". However, Kalyanaraman didn't completely ignore the legacy of his guru to forge that of his own. He popularized the GNB bani (style) of singing and also immortalized his guru's hallmark ragas like Shanmukhapriya, Kalyani (raga), Dheerasankarabharanam, Kapi Narayani and many more. He gave Hindustani touches to Hindustani ragas like Dwijawanthi, Brindavana Saranga and Hamir Kalyani. Such was his voice that it had an almost perfect substitute to the inimitable voice of GNB and while singing his guru's signature compositions it would often confuse the acute listener whether it was GNB or Kalyanaraman singing. Contributions He notated a book, the first volume of GNB compositions with Trichur V. Ramachandran, which was released by the GNB Foundation. As a musical innovator he faced much criticism in his time for creating new ragas such as the dwi-madhyama ragas in which he eschewed the panchama of the first 36 mela ragas substituting it with the prathi-madhyama. Apart from theoretically creating a new set of 36 ragas, he demonstrated them at a lecture held in the Music Academy in 1993. He was also ridiculed by critics that he would only handle the "rare stuff" of Carnatic music. But nothing bothered his style and preference. He also composed several varnams, krithis (some in ashtaragamalika format) and thillanas in both popular and vivadi ragas and like his guru, he refrained from using a mudra. He was a strict teacher and expected nothing less than devotion to the art from his students. As such many of his students, unable to understand his teaching methods, left him. He would also take a back seat and analyze his teaching methods whether anything went wrong in his teaching. Noted among his disciples are his wife Bhushany Kalyanaraman, Prof. Gowri Kuppuswamy, Brinda Venkataramanan and the popular cine playback singer Anuradha Sriram. Above all, he emphasized a lot on shruthi clarity which he felt Carnatic musicians lacked unlike their Hindustani counterparts. He formulated and tested methods to improve shruthi clarity in Carnatic musicians as well as some of his innovative teaching methods. He planned for the release of a book of all his findings, but it was never published. Influence Kalyanaraman's influence undeniably bore the GNB mudra. Though criticized many a times for his unique and misunderstood musical prowess, his renditions and contributions are finally gaining popularity among the younger generation as well as recognition. Held in high regard by most of his senior contemporaries like T. N. Seshagopalan, Dr. M. Balamuralikrishna, M. S. Gopalakrishnan and Lalgudi Jayaraman, Kalyanaraman's contribution to the world of Carnatic music is noteworthy. The SKR Trust, established by his wife and student Smt Bhushan Kalyanaraman promotes his music and his legacy. A documentary of his life and work was released by Kalakendra Sanskriti Series "The Sunaadha Vinodhan" in an audio visual DVD format. References Carnatica.net External links G. N. Balasubramaniam The HINDU Carnatic Corner Category:1930 births Category:1993 deaths Category:Male Carnatic singers
</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.