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>
USS Parche (SS-384) The first USS Parche (SS-384/AGSS-384) was a United States Navy submarine. She bore the name (pronounced with two equal syllables: ) of a butterfly fish, Chaetodon capistratus. Parche was built by the Portsmouth Navy Yard. Her keel was laid on 9 April 1943 and was christened on 24 July, when Betty Russell smashed the traditional bottle of champagne across the bow as she slid into the water for the first time. Russell was the daughter of the U.S. District Judge Robert Lee Russell, formerly Judge Advocate General of the Navy. Parche was commissioned on 20 November 1943 with Commander Lawson P. Ramage commanding. First and Second War Patrols On 29 March 1944 the submarine left Pearl Harbor with two other subs, and , for her first war patrol. After passing Midway Island, the three reached the sea lanes south of Formosa 16 April. On 29 April Bang reported a large convoy away, and the wolf pack attacked, Parche sinking one ship. Tinosa reported a seven-ship convoy on the morning of 3 May and Parche headed north at full speed to intercept. An hour after midnight Parche was in position and scored three torpedo hits on the leading ship and two hits on the second freighter, sinking both. Parche scored two hits on the third freighter, which settled by the stern and began to list to port. Post-war records credited the trio of submarines with five sinkings and 30,542 tons, Parche getting credit for Taiyoku Maru and Shoryu Maru. Parche returned to Midway 23 May 1944, after making a thorough photo reconnaissance of military installations on the island of Ishi Gaki Jima. Parche's second patrol was again south of Formosa, forming with and a coordinated attack group. Parche went to sea 17 June, following her refit. A week later she sighted and sank a patrol vessel with gunfire. On 4 July a Japanese cruiser and destroyer bombarded and depth charged Parche. Parche sighted a convoy 29 July and, cooperating with Steelhead, closed in, sinking 4,471 ton cargo ship Manko Maru and 10,238-ton tanker Koei Maru. During this night surface action Parche barely avoided being rammed by one ship. Parche collaborated with Steelhead in sinking an 8,990 ton transport, the Yoshino Maru (originally the Kleist, built in Danzig, 1906 for North German LLoyd, surrendered to the British in 1919, and acquired by the Nippon Yusen Kaisha in 1922.) Steelhead sank two other ships, a transport and a cargo vessel. Another tanker and a cargo ship were damaged. For this action Parche received the Presidential Unit Citation and her commander, Ramage, received the Medal of Honor. On 1 August the sub departed for Saipan where she moored 5 August, arriving Pearl Harbor 16 August. Third, Fourth, and Fifth War Patrols On her third war patrol, 10 September to 2 December, one of the longest of the war, Parche did not encounter any targets. After a refit, the ship got underway 30 December for rotating patrol in the Nansei Shoto. She discovered a freighter and a tanker at anchor in Naze Ko 19 January, firing six bow tubes at the tanker for five distinct hits and four stern tubes at the freighter for two possible hits. On 7 February Parche sighted and sank the 984-ton Okinoyama Maru. Fueling at Midway 16 February, the sub continued to Pearl Harbor, where she arrived 20 February. Japanese shipping, decimated by continual submarine and air attacks, was becoming increasingly difficult to find. When Parche left Pearl Harbor 19 March 1945, she headed directly for the east coast of Honshū, Japan. Parche sank escorting 615-ton Minesweeper
</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.