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>
Na'il Diggs Na'il Diggs (born July 8, 1978) is a former American football linebacker. He was drafted by the Green Bay Packers in the fourth round of the 2000 NFL Draft. He played college football at Ohio State. Diggs has also played for the Carolina Panthers, St. Louis Rams, and San Diego Chargers. College career Diggs played college football at the Ohio State University. He spent his last two years at strongside linebacker after beginning college career as a defensive end. As a senior Diggs led the Buckeyes with 94 tackles, 15 tackles for losses and 6 sacks. In all he played in 37 games recording 202 tackles, 18 sacks and one interception, four forced fumbles, three fumble recoveries and one interception. He graduated with a degree in aviation. Professional career Pre-draft Diggs measured 6'3½" and 231 pounds and had a 40-yard dash time of 4.55 seconds. Green Bay Packers Diggs was drafted by the Green Bay Packers in the fourth round of the 2000 NFL Draft. On June 20, 2000, Diggs signed a three-year $1.2 million contract that included a $300,000 signing bonus. On September 11, 2000, Diggs was named Sports Illustrated's Special Teams Player of the Week by Peter King. Diggs played in 13 games with 12 starts at strongside linebacker and was named All-Rookie by the PFWA after posting 54 tackles, one fumble recovery and four passes defensed. In 2001, he started all 16 games at strongside linebacker and produced 92 tackles, 2.0 sacks, and six passes defensed. In 2002 Diggs again started all 16 games at strongside linebacker and finished second on the team with 111 tackles, 3.0 sacks, one forced fumble, two fumble recoveries, two interceptions and seven passes defensed. Diggs was named NFC Defensive Player of the Month for December 2002, after making 37 tackles, one forced fumble, one fumble recovery, one interception and two passes defensed in five games. In the 2003 off-season Diggs signed a four-year, $10.5 million contract after the Packers matched an offer sheet for the same amount from the Detroit Lions. In 2003 Diggs moved to weakside linebacker from and started all 16 games and had 123 tackles, 1.0 sack, one forced fumble, two interceptions and eight passes defensed. An injury kept Diggs out of the final two games in 2004, snapping his consecutive games started streak at 74. Diggs did start 14 games at weakside linebacker had 116 tackles, 1.0 sack, two passes defensed and one blocked kick. In 2005 Diggs returned to strongside linebacker and appeared in nine games with six starts. Before he was injured he generated 45 tackles, one fumble recovery. On March 2, 2006, he was released by the Packers. Carolina Panthers On April 20, 2006, Diggs was signed by the Carolina Panthers to a one-year $627,000 contract. The Panthers viewed Diggs as a replacement for weakside Will Witherspoon who had left the Panthers to sign with the St. Louis Rams. In 2006 Diggs appeared in 15 games with 10 starts totaled 68 tackles, and three passes defensed. On March 2, 2007, Diggs re-signed with the Panthers for another year (for $1.35 million) and for that season Diggs played in all 16 games with 10 starts and made 49 tackles, 3.5 sacks, one forced fumble and five passes defensed. On December 29, 2007, the Diggs accepted a three-year extension for $7 million ($2.7 million of it guaranteed). In 2008 Diggs started all 16 contests as the strongside linebacker and recorded 62 tackles, 1.0 sack, one interception, and two passes defensed. 2009 was Diggs's final season with the Panthers and he remained at strongside linebacker
</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.