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 George W. Ingram (DE-62) USS George W. Ingram (DE-62/APD-43), a of the United States Navy, was named in honor of Seaman George Washington Ingram (1918–1941), who was killed in action during the Japanese attack on the Hawaiian Islands. George W. Ingram was laid down on 6 February 1943 at the Bethlehem-Hingham Shipyard, Inc., in Hingham, Massachusetts; launched on 8 May 1943, sponsored by Mrs. James L. Ingram, mother of Seaman Second Class Ingram, and commissioned on 11 August 1943, with Lieutenant Commander Ernest R. Perry in command. Service history World War II, 1943–1945 After shakedown off Bermuda, George W. Ingram departed New York on 13 October for convoy escort duty in the Atlantic. Steaming via the West Indies, she escorted a supply convoy to North Africa, where she arrived at Algiers, Algeria, on 7 November. She departed four days later, as convoy escort, and returned via the West Indies and the Panama Canal Zone to New York, arriving on 4 December. Between 26 December 1943 and 12 July 1944, she made five round-trip trans-Atlantic escort voyages (four from New York and one from Boston) to Northern Ireland. After additional escort duty along the eastern seaboard, she departed Charleston, South Carolina, on 6 November to escort slow-moving convoy CK-4 to Plymouth, England. She arrived on 5 December, then sailed a week later, escorting ships and landing craft damaged during the Normandy invasion, back to the United States. On 20 December, attacked the slow-moving convoy northeast of the Azores, sinking and damaging the destroyer escort ; but prompt action by the escorts drove off the U-boat, preventing further damage. George W. Ingram reached New York on 12 January 1945. After escorting a captured Italian submarine from Portsmouth, New Hampshire to New London, Connecticut, George W. Ingram was re-designated APD-43 on 23 February. During the next few months, she underwent conversion to a Charles Lawrence-class high speed transport at Tompkinsville, New York. Shortly after V-E Day, she departed New York and sailed via the Panama Canal and San Diego to Pearl Harbor, where she arrived on 20 June for training with Underwater Demolition Teams. With UDT-26 embarked, she departed Pearl Harbor on 24 August and sailed via Eniwetok and Okinawa to Jinsen, Korea, where on 8 September, she supported the initial landings of American occupation troops in Korea. She steamed to Taku Bar, China, on 26 September, and from 29 September to 1 October, UDT-26 surveyed and sounded the approaches of the Peking River in preparation for landings by the III Marine Amphibious Corps. She supported additional landings by American troops at Chefoo and Tsingtao, China, before departing Tsingtao on 17 October. She steamed via Okinawa, Eniwetok, and Pearl Harbor to the West Coast, arriving at San Diego on 11 November. Decommissioning and sale to the Republic of China Remaining at San Diego, George W. Ingram decommissioned on 15 January 1947, and entered the Pacific Reserve Fleet at Bremerton, Washington. George W. Ingram was struck from the Navy List on 1 January 1967. Acquired by the Republic of China Navy on 19 September 1967, ex-George W. Ingram was commissioned as frigate ROCS Kang Shan (PF-43). With a different hull number, 323, she was discarded in 1978. References External links Category:Buckley-class destroyer escorts Category:Ships built in Hingham, Massachusetts Category:1943 ships Category:World War II frigates and destroyer escorts of the United States Category:Charles Lawrence-class high speed transports Category:World War II amphibious warfare vessels of the United States Category:Charles Lawrence-class high speed transports of the Republic of China Navy
</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.