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>
Hiroe Oka is a Japanese actress and voice actress from Tokyo. She is affiliated with the Bungaku Company. She is the official Japanese voice-dubbing artist for British actress Kate Winslet. Filmography Television animation Ikki Tousen (Chinkyū Kōdai) Marvel Anime: Iron Man (Pepper Potts) Theatrical animation Psycho-Pass: Sinners of the System (Kyōka Tsujichō) Dubbing roles Gwyneth Paltrow The Anniversary Party (Skye Davidson) Iron Man (Pepper Potts) Iron Man 2 (Pepper Potts) The Avengers (Pepper Potts) Iron Man 3 (Pepper Potts) Mortdecai (Johanna Mortdecai) Spider-Man: Homecoming (Pepper Potts) Avengers: Infinity War (Pepper Potts) Kate Winslet Titanic (2004 Fuji TV edition) (Rose DeWitt Bukater) Finding Neverland (J.M. Barrie) All the King's Men (Anne Stanton) Little Children (Sarah Pierce) The Reader (Hanna Schmitz) Carnage (Nancy Cowan) Divergent (Jeanine Matthews) Christina Hendricks ER (Joyce Westlake) Mad Men (Joan Holloway) Life as We Know It (Alison Novak) I Don't Know How She Does It (Allison Henderson) Diane Kruger Troy (2007 TV Asahi edition) (Helen) Copying Beethoven (Anna Holtz) Forces spéciales (Elsa Casanova) Unknown (Gina) 27 Dresses (Jane Nichols (Katherine Heigl)) The A-Team (Charissa Sosa (Jessica Biel)) Australia (Lady Sarah Ashley (Nicole Kidman)) Baby Mama (Kate Holbrook (Tina Fey)) The Big Wedding (Lyla Griffin (Katherine Heigl)) Birdman (Lesley Truman (Naomi Watts)) The Black Dahlia (Elizabeth Short (Mia Kirshner)) Blade Runner: The Final Cut (Rachael (Sean Young)) Broken Embraces (Magdalena "Lena" Rivas (Penélope Cruz)) Casanova (Francesca Bruni (Sienna Miller)) Casino Royale (Vesper Lynd (Eva Green)) The Change-Up (Sabrina McKay (Olivia Wilde)) Click (Donna Newman (Kate Beckinsale)) Cliffhanger (2014 BS Japan edition) (Jessie Deighan (Janine Turner)) Constantine (2008 TV Asahi edition) (Angela Dodson (Rachel Weisz)) Cruel Intentions 3 (Cassidy Merteuil (Kristina Anapau)) Daredevil (Elektra Natchios (Jennifer Garner)) The Dark Knight (2012 TV Asahi edition) (Rachel Dawes (Maggie Gyllenhaal)) Diamonds Are Forever (2006 DVD/Blu-Ray edition) (Tiffany Case (Jill St. John)) The Diving Bell and the Butterfly (Henriette Durand (Marie-Josée Croze)) Dream House (Ann Patterson (Naomi Watts)) Elektra (Elektra (Jennifer Garner)) Exorcist: The Beginning (Sarah (Izabella Scorupco)) The Extraordinary Adventures of Adèle Blanc-Sec (Adèle Blanc-Sec (Louise Bourgoin)) Felon (Laura Porter (Marisol Nichols)) Five Fingers (Saadia (Touriya Haoud)) Freddy vs. Jason (Lori Campbell (Monica Keena)) Gilmore Girls (Lorelai Gilmore (Lauren Graham)) The Guardian (Emily Thomas (Melissa Sagemiller)) The Happening (Alma Moore (Zooey Deschanel)) Hitman (Nika Boronina (Olga Kurylenko)) Home Sweet Hell (Mona Champagne (Katherine Heigl)) I'm Sorry, I Love You (Moon Ji-young (Choi Yeo-jin)) I, Robot (television edition) (Doctor Susan Calvin (Bridget Moynahan)) Identity (Paris Nevada (Amanda Peet)) Imagine Me & You (Luce (Lena Headey)) The Impossible (Maria Bennett (Naomi Watts)) The International (Eleanor Whitman (Naomi Watts)) Interstellar (Murphy (Jessica Chastain)) The Italian Job (Stella Bridger (Charlize Theron)) Joint Security Area (Major Sophie E. Jean (Lee Young-ae)) Juno (Vanessa Loring (Jennifer Garner)) Knowing (Diana Wayland (Rose Byrne)) Lake Placid: The Final Chapter (Sheriff Theresa Glove (Elisabeth Röhm)) Lord of War (Ava Fontaine (Bridget Moynahan)) Max Payne (Natasha Sax (Olga Kurylenko)) Mission: Impossible III (Julia Meade (Michelle Monaghan)) Neighbors 2: Sorority Rising (Kelly Radner (Rose Byrne)) The Net 2.0 (Hope Cassidy (Nikki DeLoach)) Night Watch (Svetlana (Mariya Poroshina)) Noah (Naameh (Jennifer Connelly)) Nowhere Boy (Julia Lennon (Anne-Marie Duff)) Oblivion (Victoria "Vika" Olsen (Andrea Riseborough)) Old Dogs (Vicki Greer (Kelly Preston)) Out for a Kill (Tommie Ling (Michelle Goh)) The Private Lives of Pippa Lee (Sandra Dulles (Winona Ryder)) The Purge: Election Year (Charlene "Charlie" Roan (Elizabeth Mitchell)) Purple Noon (2008 TV Tokyo edition) (Marge Duval (Marie Laforêt)) Ra.One (Sonia (Kareena Kapoor)) Ray (Della Bea Robinson (Kerry Washington)) Reign of Fire (Alex Jensen (Izabella Scorupco)) Reservation Road (Ruth Wheldon (Mira Sorvino)) Resident Evil series (TV editions) (Alice (Milla Jovovich)) Resident Evil: Extinction (Claire Redfield
</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.