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>
Tochinoumi Teruyoshi Tochinoumi Teruyoshi (栃ノ海 晃嘉, born March 13, 1938 as Shigehiro Hanada) is a former sumo wrestler from Aomori, Japan. He was the sport's 49th yokozuna, earning promotion in 1964. He was somewhat overshadowed by his yokozuna contemporaries Taihō and Kashiwado, but he was a noted technician and earlier in his career won six special prizes for Technique. He was one of the lightest yokozuna ever at just 110 kg. After his retirement from active competition in 1966 he was a coach at Kasugano stable, and was head coach from 1990 until his retirement in 2003. Career Born in Inakadate, Minamitsugaru District, he made his professional debut in September 1955. He joined Kasugano stable, a prestigious stable that had previously produced yokozuna Tochigiyama and Tochinishiki. He initially fought under his own surname, Hanada (however he is no relation to the famous "Hanada Dynasty" of Wakanohana Kanji I, Takanohana Kenshi, Wakanohana Masaru and Takanohana Koji). After about three years in the lower ranks he reached the second jūryō division in January 1959 and was promoted to the top makuuchi division in March 1960. After two make-koshi or losing scores he was demoted to jūryō but immediately won the second division championship with a 14–1 record and was promoted back. He then adopted the shikona Tochinoumi. He captured his first top division tournament championship in May 1962 at sekiwake rank and was promoted to ōzeki, alongside his stablemate Tochihikari. He won his second championship in November 1963 and followed up with a 13–2 record in January 1964. Although he only took third place in this tournament, behind Taihō on 15–0 and maegashira Kiyokuni on 14–1, he was promoted to sumo's highest rank of yokozuna, despite some doubts about his lack of weight. He was only able to win one further championship, in May 1964, and being severely restricted by sciatica, posted a succession of bare majority 8–7 records in 1965. He recovered somewhat to post a 10–5 in September 1965, but then suffered a serious injury to a muscle in his right arm. He had expressed hope that he could fight until the age of 30, but after an injury-plagued 1966 he retired at the end of the year at the age of 28 years eight months, making him the youngest retired yokozuna ever. He often seemed to feel under pressure as a yokozuna, suffering from weight loss and lack of sleep. His winning percentage at the rank was just .596 (the worst ever after Maedayama and Mienoumi) with 102 wins and 69 losses (plus 84 absences). He gave away 33 kinboshi, 36 percent of all his yokozuna matches against maegashira. His overall makuuchi record was .635, with 310 wins, 184 losses and 104 absences. Fighting style Tochinoumi was noted for his technical skill, and six of his seven special prizes were for Technique. His most common winning kimarite were yorikiri (force out) and yoritaoshi (force out and down), but he also had more unusual techniques in his repertoire, such as kirikaeshi (twisting backward knee trip) and sotogake (outer leg trip). Retirement from sumo Tochinoumi stayed in the sumo world as an elder of the Sumo Association, under the name Nakadachi. Somewhat unusually for a former yokozuna, he did not immediately take charge of a stable, instead working as an assistant coach. However, in January 1990 he did become head coach of Kasugano stable after the death of the previous stablemaster, the former Tochinishiki. Among the sekitori he produced were Tochinonada, Tochinohana, Tochisakae, and Kasuganishiki. He stood down in 2003 upon reaching the mandatory retirement age of 65, handing control of
</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.