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>
Social Republic Fascist forces. Included in the losses are 64,000 victims of Nazi reprisals and genocide including 30,000 POWs and 8,500 Jews. According to Martin Gilbert, Jewish Holocaust victims totaled 8,000 in Italy and 562 in the Italian colony of Libya Updated studies (2010) by the Ufficio dell'Albo d'Oro of the Italian Ministry of Defence, p. 4 have revised the military deaths to 319,207, of which 246,432 belonged to the Army, 31,347 to the Navy, 13,210 to the Air Force, 15,197 to the Partisan formations and 13,021 to the armed forces of the Italian Social Republic. The casualties recorded for Italy do not include Italians who were born in Italian colonies and possessions (ethnic Italians in Libya, Eritrea, Ethiopia, Somalia and the Dodecanese) and in national territories that Italy lost with the Paris peace treaty of 1947 (mainly the Julian March, Istria and Zara/Zadar; a large part of the victims of the Foibe massacres are thus not included). Also Africans conscripted by Italy are not included in their figures. With regards to the Partisan casualties, a ministerial study published in 1955 listed the partisans killed or executed as 35,828; however, the Ufficio dell'Albo d'Oro only considered as partisans the members of the Resistance who were civilians before joining the partisans, whereas partisans who were formerly members of the Italian armed forces (more than half those killed) were considered as members of their armed force of origin. With regards to the Italian Social Republic casualties, the Ufficio dell'Albo d'Oro excludes from its lists of the fallen the individuals who committed war crimes. In the context of the RSI, where numerous war crimes were committed in the anti-partisan warfare, and many individuals were therefore involved in such crimes (especially GNR and Black Brigades personnel), this influences negatively the casualty count, under a statistical point of view. The "RSI Historical Foundation" (Fondazione RSI Istituto Storico) has drafted a list that lists the names of some 35,000 RSI military personnel killed in action or executed during and immediately after World War II (including the "revenge killings" that occurred at the end of the hostilities and in their immediate aftermath), including some 13,500 members of the Guardia Nazionale Repubblicana and Milizia Difesa Territoriale, 6,200 members of the Black Brigades, 2,800 Aeronautica Nazionale Repubblicana personnel, 1,000 Marina Nazionale Repubblicana personnel, 1,900 X MAS personnel, 800 soldiers of the "Monterosa" Division, 470 soldiers of the "Italia" Division, 1,500 soldiers of the "San Marco" Division, 300 soldiers of the "Littorio" Division, 350 soldiers of the "Tagliamento" Alpini Regiment, 730 soldiers of the 3rd and 8th Bersaglieri regiments, 4,000 troops of miscellaneous units of the Esercito Nazionale Repubblicano (excluding the aabove-mentioned Divisions and Alpini and Bersaglieri Regiments), 300 members of the Legione Autonoma Mobile "Ettore Muti", 200 members of the Raggruppamento Anti Partigiani, 550 members of the Italian SS, and 170 members of the Cacciatori degli Appennini Regiment. This would bring the total number of Italian military personnel killed to some 341,000 (excluding colonial troops). According to the official history of the Italian Army (Rovighi, Alberto (1988), Le Operazioni in Africa Orientale: (giugno 1940 – novembre 1941) [Operations in East Africa: (June 1940 – November 1941)], Rome, Stato Maggiore Esercito, Ufficio storico) From June 1940 to 16 April 1941, 11,755 askaris were killed in Italian East Africa, excluding the losses in Giuba region and eastern fronts. After that date, in the last battles in East Africa there were 490 askaris killed in the battle of Culqualber and 3,700 killed in the battle of Gondar, plus an unknown number in the battle of Amba Alagi and other minor clashes. This
</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.