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>
M. K. Alagiri Muthuvel Karunanidhi Alagiri (born 30 January 1950), commonly known as M. K. Alagiri, is an Indian politician from Tamil Nadu and was a Union Cabinet Minister of Chemicals and Fertilizers from 13 June 2009 to 20 March 2013. He is the first son of the former Chief Minister of Tamil Nadu, M. Karunanidhi and his second wife Dayalu Ammal and the head of South Zone of Dravida Munnetra Kazagham (up to 2014). Early life Azhagiri is the second son of former Chief Minister of Tamil Nadu and leader of Dravida Munnetra Kazhagam, Karunanidhi and his second wife Dayalu Ammal. He is believed to have spent his early life under the tutelage of his father and after his marriage on 10 December 1972, settled in Madurai. His wife is Ganthi Azhagiri and they have three children, two daughters Kayalvizhi and Anjugaselvi, and a son, Dayanidhi Azhagiri. Azhagiri graduated from the Presidency College in Chennai with a BA degree. Role in Dravida Munnetra Kazhagam Karunanidhi always appeared to prefer his younger son, M. K. Stalin, former mayor of Chennai and former Deputy Chief minister of Tamil Nadu, for succeeding him as the leader of Dravida Munnetra Kazhagam (DMK) Azhagiri shifted his base to Madurai during 1989 and did not hold any post officially in the party. In spite of holding no posts, he was all in command in the Madurai region and senior leaders in the party were unhappy about the factionalism created within the party. The DMK general secretary, K Anbazhagan, in 2001, directed the party men to have any contact with Azhagiri. During the period of 2008, Azhagiri was instrumental in the party winning three by-elections, the notable of which was Thirumangalam, where the party won with a massive difference. Based on the victory, Azhagiri was appointed as the organizing secretary of the party for southern districts. Following the by-poll victories in the state, Azhagiri was given the ticket for Madurai Lok Sabha Constituency in 2009 general elections, which he won eventually and later went on to become a cabinet minister. There were widespread fights between the supporters of Azhagiri and Stalin frequently. The succession crisis came out to a peak when party members loyal to Azhagiri attacked the Madurai office of Dinakaran and set it to fire, in which three staff were killed. Dinakaran is a part of the Sun TV group owned by Kalanidhi Maran (son of Murasoli Maran), the grand-nephew of Karunanidhi. The newspaper published a higher prominence for Stalin over Azhagiri. He was removed from the DMK party as member and as Secretary, South Zone on 24 January 2014. Elections contested Controversies Azhagiri's name is associated with various controversies including conspiring in the murder of the former DMK Minister, T. Kiruttinan on 20 May 2003, initiating a cash-for-vote in Tamil Nadu for the Thirumangalam by-elections, attacking the Madurai office of the newspaper Dinakaran, and the Dhaya Cyber Tech Park land grab case. He is seen as the party strong man in Southern districts of Madurai. There have been various clashes in the state between his supporters and the ones of his younger brother M.K.Stalin over the question of succession and leadership of the party. He is also accused to inducing his strongmen in the party, who otherwise have criminal cases against them. Azhagiri is alleged of instigating the attacks of popular Tamil newspaper Dinamalar in February 1997 when the daily published a criticism about him. T. Kiruttinan case Azhagiri was accused as the main conspirator in the murder of the former Highways Minister, Pasumpon T. Kiruttinan, on 20 May 2003. Kiruttinan was hacked
</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.