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>
Bogdan Diklić Bogdan Diklić (; born 1 August 1953) is a Serbian actor. He has been active since the late 1970s and starred in over one hundred Yugoslav films and television series. Diklić made ten films with director Goran Marković. In August 2009, he received the Lifetime Achievement Award "Pavle Vuisić" for his body of work in Yugoslav cinematography. Filmography 1. Vojnikova ljubav (1976) 2. Maiden Bridge (1976) 3. Fragrance of Wild Flowers (1977) 4. National Class Category Up to 785 ccm (1979) 5. All That Jack's (1980) 6. Erogena zona (1981) .... Strahinja 7. Sok od sljiva (1981) .... Vuk 8. The Marathon Family (1982).... Mirko Topalovic 9. Variola vera (1982) .... Dusko 10. Balkan Express (1983) .... Zuti 11. Kamiondzije opet voze (1984) .... Poreznik 12. O pokojniku sve najlepse (1984) .... Budjoni 13. Unseen Wonder (1984).... Inzinjer 14. In the Jaws of Life (1984).... Pipo 15. Balkan Spy (1984) .... Man at the opera 16. The End of the War.... Alojzije 17. Taiwan Canasta (1985) .... Drazenko 18. I to ce proci (1985) 19. Jagode u grlu (1985) .... Boca 20. Three for Happiness (1985) .... Jozo 21. Dobrovoljci (1986) .... Svestenik 22. Od zlata jabuka (1986) .... Aljosa 23. Reflections (1987) .... Profesor Esperanta 24. Kraljeva zavrsnica (1987) 25. Uvek spremne zene (1987) .... Pera 26. Lager Nis (1987) .... SS Sergeant 27. In the Name of the People (1987) .... Todor 28. Blanka Kolak's Love (1987) .... Loko 29. Oktoberfest (1987) .... Vanja 30. Azra (1988) .... Zvonko 31. Cavka (1988) .... Direktor skole 32. Cognac (1988) .... Branko 33. Maternal Halfbrothers (1988) .... Veselinov razredni 34. Balkan ekspres 2 (1988) .... Ernest 35. Boj na Kosovu (1989) .... Tamnavac 36. The Meeting Point (1989) .... Petar 37. The Fall of Rock and Roll (1989) .... Slobodan (segment "Ne salji mi pismo") 38. Hajde da se volimo 3 (1990) 39. We Are Not Angels (1992) .... Pavle 40. The Black Bomber (1992) .... Glavonja 41. Prokleta je Amerika (1992) .... (segment "Sangarepo, ti ne rastes lepo") 42. Tito and Me (1992) .... Teca 43. Tri karte za holivud (1993) .... Zivadin 44. A Diary of Insults (1994) 45. Ni na nebu ni na zemlji (1994) .... Svetislav 46. Bice bolje (1994) 47. Paket aranzman (1995) .... Dusan Markovic (segment "Noc bez sna") 48. The Tragic Burlesque (1995) .... Joja 49. Barking at the Stars (1998) .... Djuro Dragicevic 50. Cabaret Balkan (1998) .... John, the VW Driver 51. The White Suit (1999) .... Masinovodja 52. Wheels (1999) .... Coric 53. Normalni ljudi (2001) .... Assistant 1 54. No Man's Land (2001) .... Serbian officer 55. Absolute Hundred (2001) .... Rasa Knezevic 56. Headnoise (2002) (as Bogdan Dikliæ) .... Psiholog Ter^Úiè 57. God Forbid a Worse Thing Should Happen (2002) .... Hanin otac 58. The State of the Dead (2002) .... Kelner Milan 59. The Cordon (2002) .... Borko 60. Fuse (2003) .... Zaim 61. A Small World (2003) .... Mladji vodnik Kos 62. The Robbery of the Third Reich (2004) .... Glavonjin komsija 63. Falling in the Paradise (2004) .... Portir u pozoristu 64. Sex pice i krvoprolice (2004) .... (segment "Sex") 65. Sivi kamion crvene boje (2004) .... Pop 66. Take a Deep Breath (2004) .... Milos 67. Zvezde ljubavi (2005) .... Gavrilo 68. Made in Yugoslavia (2005) .... Muharem 69. Grbavica (2006) .... Saran 70. The Border Post (2006) .... Pukovnik Rade Orhideja 71. All for Free (2006) .... Spavac 72. The Trap (2007) .... Doktor Lukić 73. Save our Souls (2007) .... Bleki 74. The Fourth Man (2007) .... Pukovnik 75. The
</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.