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>
in Buenos Aires in 1967 it became clear that Argentina would be a difficult place to win a series. Scotland lost the first test in 1968, but won a close second test two weeks later. The first trip of the Argentina national rugby team to the other side of the Atlantic was to Rhodesia and South Africa in 1965. The team acquired the nickname Pumas, from a local journalist of The Weekly Farers after their first tour match, a defeat on 8 May by Rhodesia in Salisbury 17–12. The journalist mistook the animal that appeared on the UAR emblem (a yaguareté) for a puma, probably because it was an unknown species in South Africa. Nevertheless, the nickname has remained as a mark of identity for the team since then. After defeats by Salisbury and Northern Transvaal, the first win came against Western Transvaal, another against South West Africa Country Districts and finally against the Southern Universities. The Pumas scored a landmark win of 11–6 against the Junior Springboks on June 19 at Ellis Park Stadium. The line-up for that historic day was Roberto Cazenave; Enrico Neri, Marcelo Pascual, Arturo Rodríguez Jurado (h), Eduardo España; Eduardo Poggi, Adolfo Etchegaray; Raúl Loyola, Héctor Silva, Eduardo Scharenberg; Rodolfo Schmidt, Aitor Otaño (c); Ronnie Foster, Nicanor González del Solar, Luis García Yáñez. That victory over the Junior Springboks was widely praised by the media, being considered as the first landmark of the Argentine rugby since the beginning of this sport in the country. Argentina played a total of 16 matches, with 11 won and only 4 lost over two months. The players were welcomed home to Buenos Aires by a huge crowd. A match was then organised against the French champions Section Paloise, although the match was remembered for the uproar and misconduct of both teams rather than the Argentine victory. Then Oxford & Cambridge arrived, a team that the Pumas had never beaten. The first match finished level at 19–19 and the second saw the University students triumph 9–3. 1965 ended with a match against Chile, which the Pumas won 23–11. In 1966, the Gazelles –a kind of a Junior Springboks B team– arrived in Argentina. The visitors took two victories 9–3 and 20–15. In September 1967, Argentina played in Buenos Aires in the South American Championship with victories over Uruguay 38–6 and Chile 18–0. Wales arrived in Buenos Aires in 1968 and for the first time in their history the Pumas were able to triumph in a series, winning the first match 9–5 and drawing the second 9–9. The first great decade in Argentine rugby came to a close with the arrival of Scotland in 1969. The first match saw a big Argentine victory 20–3, but in the second game the visitors narrowly won 6–3. In 1968 Wales toured on Argentina to play six games. Argentina defeated Wales in the first test by 9–6, with the following line-up: 15.Jorge Seaton, 14.Mario Walther, 13.Arturo Rodriguez Jurado, 12.Marcelo Pascual, 11.Alejandro Travaglini, 10.Jorge Dartiguelongue, 9.Adolfo Etchegaray, 7.Miguel Chesta, 8. Hector Silva, 6.Raul Loyola, 5.Aitor Otano, 4.Adrian Anthony, 3.Marcelo Farina, 2.Ricardo Handley, 1.Luis Garcia Yanez. The second test finished in a 9–9 tie. The 1970s: multiple tours Through the 1970s, Argentina confirmed its steady rise towards top-tier status under the influence of its first truly world-class player, fly-half Hugo Porta. In 1971 Argentina made a second tour on South Africa that included a series of 14 matches played in June and July. The "Pumas" didn't play against Springboks (playing meanwhile in Australia, but againnts the Gazelles, the selection of emerging under-23 players). Originally was scheduled also
</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.