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>
around Yarkand when they had rose up in rebellion in Nanchiang around Sarikol, and killing Red Army officers. The Chinese Muslim Ma Clique warlord of Qinghai, Ma Bufang, was sent with his cavalry to Ürümqi by the Kuomintang in 1945 to protect it from the Uyghur rebels of Ili. In 1945 the Tungan (Hui) 5th and 42nd Cavalry were sent from Qinghai to Xinjiang, where they reinforced the KMT 2nd Army, made up of four divisions. Their combined forces totaled 100,000 Hui and Han troops serving under KMT command in 1945. It was reported the Soviets was eager to "liquidate" Ma Bufang. Gen. Ma Chengxiang, another Hui Ma Clique officer and nephew of Ma Bufang, commanded the 1st Cavalry Division in Xinjiang under the KMT, which was formerly the Gansu 5th Cavalry Army. A cease-fire was declared in 1946, with the Second East Turkestan Republic in control of Ili and the Chinese in control of the rest of Xinjiang, including Ürümqi. 1947 unrest Unpopular Gov. Wu Zhongxin was replaced after the cease-fire with Zhang Zhizhong, who implemented pro-minority policies to placate the Uyghur population. Bai Chongxi, the Defense Minister of China and a Muslim, was considered for appointment in 1947 as Governor of Xinjiang, but the position was given instead to Masud Sabri, a pro-Kuomintang Uyghur who was anti-Soviet. Sabri was close to conservatives in the CC Clique of the Kuomintang and undid all of Zhang Zhizhong's pro-minority reforms, which set off revolts and riots among the Uyghurs in oases like Turfan. The Turkic (Uyghurs) were being subjected to Soviet propaganda. In Ürümqi (Uyghur) Muslim women who married Han Chinese men were assaulted by hordes of (Uyghur) Muslims on 11 July 1947, and the women were seized and kidnapped by the hordes. Old (Uyghur) Muslim men forcibly married the women. In response to the chaos a curfew was placed at 11:00 p.m. The marriages between Muslim (Uyghur) women and Han Chinese men infuriated Uyghur leader Isa Yusuf Alptekin. Ma Chengxiang, a Kuomintang Chinese Muslim general and the nephew of Ma Bufang, allegedly used his Chinese Muslim cavalry to butcher Uyghurs during an uprising in 1948 in Turfan. Ma Chengxiang was the commander of the 5th Cavalry Unit, which was stationed in Xinjiang. Over 60,000 soldiers were in the Ili army according to Gen. Sung. Achmad (Ehmetjan Qasim) was strongly against Masud Sabri becoming governor. Ehmetjan Qasim (Achmad-Jan), the Uyghur Ili leader, demanded that Sabri be sacked as governor as one of the conditions for his agreeing to visit Nanjing. All races in the Ili region were forcibly conscripted into the Uyghur Ili army except the Han. The Uyghurs and Soviets massacred Han living in Ili and drove them from the region. Salar Muslim Gen. Han Youwen, who served under Ma Bufang, commanded the Pau-an-dui (保安隊; pacification soldiers), composed of three 340-man battalions. They were composed of men of many groups, including Kazakhs, Mongols and White Russians serving the Chinese regime. He served with Osman Batur and his Kazakh forces in fighting the ETR Ili Uyghur and Soviet forces. The ETR forces in the Ashan zone were attacked, defeated and killed by Osman's Kazakh forces during an offensive in September 1947, supported by the Chinese. Osman's Kazakhs seized most of the towns in the Ashan zone from the ETR. The acting Soviet consul at Chenghua, Dipshatoff, directed the Red Army in aiding ETR Ili forces against Osman's Kazakhs. The KMT CC Clique employed countermeasures in Xinjiang to prevent the conservative, traditionalist religious Uyghurs in the oases in southern Xinjiang from defecting to the pro-Soviet, pro-Russian ETR Uyghurs in Ili in northern
</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.