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>
Poets Changampuzha Krishna Pillai (1911–1948), poet and translator Edappalli Raghavan Pillai (1909–1936) P. Kunhiraman Nair (1906–1974) Sanjayan Neo-Romantic Poets G. Sankara Kurup, aka "Sankara Kurup" (died 1978) Vyloppilli Sreedhara Menon, aka "Vailoppilli Sreedhara Menon" (1911–1985) Edasseri Govindan Nair (1906–1974)) N.V. Krishna Warrier (1916–1989), poet and scholar Thirunalloor Karunakaran (1924–2006), poet and scholar P. Bhaskaran (1924–2007), poet and film songwriter Vayalar Ramavarma, also spelled Vayalar Rama Varma (1928–1975) O.N.V. Kurup (born 1931) Vishnunarayanan Namboothiri (born 1939) Kunjunni (died 2006) Balamani Amma Sugathakumari Modernist Poets M. Govindan (1919–1988) K. Ayyappa Panicker, also spelled Ayyappa Paniker, Indian (1930–2006) Attoor Ravi Varma Kadammanitta Ramakrishnan, popularly known as Kadammanitta (1935–2008) Satchidanandan (born 1946), critic (writing in Malayalam and English), poet (in Malayalam) S. Rajasekharan (born 1946), poet and literary critic D. Vinayachandran A. Ayyappan (born 1949) Balachandran Chullikkad (born 1957), poet and actor Nellikkal Muraleedharan (born 1948), poet, writer and critic Venu V Desom Postmodern Poets P. P. Ramachandran T. P. Rajeevan (born 1959), poet, novelist and literary critic. V. M. Girija (born 1961), poet Veerankutty Syam Sudhakar (born 1983), poet and literary critic Manipuri Nongthombam Biren Singh, politician, poet and former journalist Ashangbam Minaketan Singh Robin S Ngangom (born 1959), poet who writes in English and Meiteilon Angom Gopi Rajkumar Shitaljit Singh Elangbam Nilakanta Singh Marathi For Konkani poets, see "Konkani" section, above Samarth Ramdas, wrote Manache Shlok; known as the Guru of Shivaji Maharaj Sant Dnyaneshwar, also known as "Sant Jñāneshwar" and "Jñanadeva" (1275–1296), saint, poet, philosopher and yogi Eknath or Eknāth (1533–1599), poet and scholar Tukaram (birth-year estimates range from 1577–-1609 – died 1650) Keshav Pandit, also known as Keshav Pandit or Keshav Bhat Pandit (died 1690), religious official under Chhatrapati Shivaji, poet and Sanskrit scholar Raghunath Pandit Suresh Bhat 1932–2003), known as Ghazal Samrat (Emperor of ghazals) for his exposition of that form Namdeo Dhasal (born 1949), poet, writer, journalist, editor and Dalit activist Manohar Oak (born 1933), poet and novelist Arun Kolatkar (born 1931 or 1932), poet who wrote both in Marathi and English; also a graphic designer Bahinabai Chaudhari (1880–1951), illiterate poet whose son wrote down her poems for her Tryambak Bapuji Thombre "Balkavi" Vilas Sarang (born 1942), writer, critic, translator and poet Kusumagraj, pen name of Vishnu Vāman Shirwādkar (1912–1999), poet, writer and humanist P. S. Rege (1910–1978), poet, playwright, fiction writer and academic Shanta Shelke (1922–2002), poet, journalist, professor, composer, story writer, translator, writer of children's literature Hemant Divate (born 1967), poet, editor of Abhidhanantar magazine, translator Hridaynath Mangeshkar(born 1937), eminent poet and composer of songs mainly in Marathi and Hindi Manya Joshi (born 1972), Marathi poet Mangesh Narayanrao Kale (born 1966), poet, editor, critic and translator Saleel Wagh (born 1967), poet, translator, critic G. D. Madgulkar, popularly known in his home state of Maharashtra by his initials, Ga Di Ma (1919–1977), poet, lyricist, writer and actor; older brother of writer Venkatesh Madgulkar Poet Borkar, Balakrishna Bhagwant Borkar, also known as "Baki-baab" (1910–1984), wrote mostly in Marathi but with numerous works in Konkani Vinayak Damodar Savarkar (1883–1966), revolutionary freedom fighter, ideologue and thinker who composed mainly poems and songs of nationalist and revolutionary sentiments Varjesh Solanki (born 1967), award-winning Marathi poet Vasant Abaji Dahake (born 1942), poet, novelist, playwright, artist, and critic Bhau Panchbhai, poet and dalit activist Mangesh Padgaonkar (born 1929), Marathi poet and recipient Maharahtra Bhushan Award Indira Sant Nepali Agam Singh Giri (1927–1971) Parijat (1937–1993) Rajendra Bhandari (born 1956) Yuyutsu Sharma (born 1960) Salik Shah (his bilingual poetry collection, "Khas Pidgin," won Elgin Award nomination from Science Fiction & Fantasy Poetry Association in 2018) Odia Jayadeva, author of the famous Gita Govinda in Sanskrit
</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.