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>
Dansefeber (season 2) Dansefeber is a Norwegian television reality program and dance competition airing on the TVNorge network. The show is a version of the US original version So You Think You Can Dance. Season two premiered with Merete Lingjærde, Geir Bie and Vibeke Sørlie as permanent judges and Henriette Lien returning to host. Contemporary dancer Hanna Mjåvatn was crowned Norway's Favourite Dancer and the top price of 500,000 norwegian kroner, as the first female dancer to win the competition in every version of the show. Runner-up were hip-hop dancer Eric Nærbø, with jazz dancer Michelle Purvis finishing 3rd, and Latin ballroom dancer Bjørn Holthe finishing 4th. Audition Cities Open auditions for this season were held in the following cities: Oslo Bergen Trondheim Format The format is the same as So You Think You Can Dance (US) season 2-present; the dancer could: Be sent straight home, because the judges did not think the dancer was good enough Be sent straight to the "Fever Days", same as Las Vegas Week in the US version Be sent to the choreography round, where the dancer will be asked to learn a choreography later in the day, and based on that, the judges decides who will go through to the "Fever Days" The Fever Days The Fever Days were held in Oslo. The "Fever Days" is the same as Las Vegas week in the US version, where the dancers will be asked to learn different styles of dance in a workshop. After all the challenges, the judges picks the top 20 finalists, 10 female and 10 male from all over Norway. Finals Elimination chart Contestants are in reverse chronological order of elimination. †Mona Berntsen suffered an injury that resulted in her being unable to continue in the competition. She was medically withdrawn, and Michelle Purvis replaced her as she was the most recent female competitor eliminated. That meant Berntsen was able to try for the next season, which it was not going to be, but bigger, in So You Think You Can Dance (Scandinavia), which she won. All shows Audition 1 (Oslo) The first episode of Dansefeber was audition in Oslo. Auditioners which got the top 20: Hanna Mjåvatn (winner) Eric Nærbø (runner-up) Michelle Purvis (3rd place) Bjørn Holthe (4th place) Philip Olsen (top 6) Alexandra Joner (top 6) Ellen Dybvik (top 8) Endre Jansen (top 12) Mona Berntsen (top 12, winner of So You Think You Can Dance (Scandinavia) Navid Rezvani (top 14) Hugo Hagström (top 18) Anett Amundsen (top 18) Audition 2 (Bergen) The second episode of Dansefeber was audition in Bergen. Auditioners which got to the top 20: Ole Petter Knarvik (top 10) Marit Halvorsen (top 10) Anette Stokke (top 14) Lars Olav Eltervaag (top 16) Sara Einbu (top 16) Trine Lise Akselsen (top 20) Audition 3 (Trondheim) The third episode of Dansefeber was audition in Trondheim. Auditioners which got to the top 20: Vegard Kristiansen (top 8) Chenno Tim (top 20) The Fever Days The fourth episode of Dansefeber was the Fever Days in Oslo, which is the same as Las Vegas Week in the US version. Week 1 (Top 20) The fifth episode of Dansefeber, was the first live-show, held in Lillestrøm Kultursenter in Oslo. Musical guest: "Mor du e hott!"—Tungtvann Solos: Anette Stokke: "Smooth Criminal"—Michael Jackson Hugo Hagström: "Labor Day (It's a Holiday)"—The Black Eyed Peas Anett Amundsen: "Hanky Panky"—Madonna Lars Olav Eltervaag: "Summertime"—Billy Stewart Trine Lise Akselsen: "Wake Me Up Before You Go-Go"—Wham! Chenno Tim: "Lose Control"—Missy Elliott (ft. Ciara & Fat Man Scoop) Eliminated: Trine Lise Akselsen Chenno Tim New partners: None Week 2 (Top 18)
</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.