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>
ran in parallel with the Rugby League World Cup. The Japanese team at the Emerging Nations World Cup was coached by Tony Smith, who went on to become a successful coach in England, culminating with his appointment to coach the English national team in 2008 through 2009. The first rugby league team to visit, and play, against Japan, was a New South Wales Group 20 representative team in 1997, followed by the Lebanese national rugby league team in 1998. Distance from any other rugby league competitions, and problems with player availability due to short Japanese holidays, have made regular competition for the Samurais difficult. However, Japan is currently in discussion with the newly formed Thailand and Philippines Rugby Leagues to enter the Asian Cup for 2014, after having to pull out in 2013. Jersey Current squad Squad selected for the 2018 Emerging Nations World Championship. Kazuki Fukushige Lachlan Grieve Amane Konishi Yuki Mochizuki Itaru Matsuo Enemarki Shibasaki Gehamat Shibasaki Kenshi Tsutsui Sean Gabites Taou Sugano Gorka Gerediaga Etxaburu Hiroshi Fukasawa Kenta Karino Kohei Ishikawa Keisuke Nakai Akihito Kashiwaba Jaye Brown Futoshi Karino Reiji Sano Douglas Streeter Matches Ranking There has been some controversy over Japan's ranking. Not being full members of the RLIF, and having difficulty in finding regular international competitions, they have been unranked since November 2012. Japan's Highest rank was achieved in 2009 when the RLIF ranked them 17th in the world before later falling to 28th and then being listed with the unranked nations. Competitions Japan has participated in a number of competitions: World Sevens (1994, 1995, 1996, 1997, plus the qualification tournament in 2003, 2004) Super League World Nines (1996, 1997) Emerging Nations Tournament (2000) NSWRL International Nines (2004–2013) In 2002 and 2003, Japan contested the East-West Challenge in the United States of America. In 2003, a North Pacific Club Challenge was held between the Champion Clubs of each country, with the Kagoshima Broncos defeating the New York Knights. Both competitions have since been disbanded. All-time Results Record *Updated as of 14/11/2019 Results International Japan def. Hong Kong 32-30 (11 October 2018) Solomon Islands def. Japan 44-22 (9 October 2018) Poland def. Japan 58-6 (7 October 2018) Turkey def. Japan 60–0 (4 October 2018) Hong Kong def. Japan 32-20 (16 June 2018) Japan def. Hong Kong 24-22 (4 November 2017) Greece def. Japan 72-0 (8 October 2016) Thailand def. Japan 30-6 (15 October 2015) Japan def. Thailand 52-16 (29 April 2015) Thailand def. Japan 46–10 (30 January 2014) Portugal def. Japan 26–20 (31 January 2013) Portugal RL def. Japan 28–16 (6 February 2008) as 10s match Malta def. Japan 82–0 (25 January 2007) USA def. Japan 58–18 (28 October 2006) USA def. Japan 40–10 (26 January 2006) USA def. Japan 78–6 (27 June 2003) USA def. Japan 26–12 (1 June 2002) Canada def. Japan 28–12 (20 November 2000) Morocco def. Japan 12–8 (15 November 2000) BARLA (Great Britain Amateurs) 54 Japan 0 (2000) USA def. Japan 54–0 (1999) Japan def. Canada 14–0 (1999) Lebanon def. Japan 52–28 (1998) World Sevens results NASCA Aboriginals def. Japan 36–0 (24 January 2003) USA Tomahawks def. Japan 28–4 (24 January 2003) USA Tomahawks def. Japan 20–8 (1996) International Nines results 2008 Bowl Finalists Newtown 36 def. Japan 4 Semi-final, Japan 22 Def. Portugal 6 Student results USA def. Japan 54–10 (1996) See also References External links Japan Rugby League Homepage (Japanese) Category:National rugby league teams Rugby League League Category:Rugby League pages needing cleanup
</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.