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>
Frank Lopardo Frank Lopardo (born December 23, 1957) is an American operatic tenor who was born in Brentwood, New York. He specialized in the repertoire of Mozart and Rossini early in his career and has since transitioned to the works of Puccini, Verdi, Donizetti, and Bellini. Early years Lopardo began his musical training at Queens College, CUNY before moving on to the Juilliard School. At Queens College he first met Dr. Robert White, who currently serves on the staff at the Juilliard School. Lopardo attended the Music Academy of the West summer conservatory program in 1983 and 1984. Career Lopardo made his North American debut as Tamino in Die Zauberflöte with Opera Theater of St. Louis. He has a long-standing relationship with The Metropolitan Opera in New York, where he has performed more than 180 times since his debut in 1989 in the role of Almaviva in Il barbiere di Siviglia. He has appeared there as Tamino, Rodolfo in La bohème, Alfredo in La traviata, the Duke in Rigoletto, Edgardo in Lucia di Lammermoor, Tonio in La fille du régiment, Nemorino in L'elisir d'amore, Don Ottavio in Don Giovanni, Idreno in Semiramide, Ferrando in Così fan tutte, and Fenton in Falstaff. He has made appearances with various North American opera companies, including the Lyric Opera of Chicago, Los Angeles Opera, Houston Grand Opera, Dallas Opera, the Canadian Opera Company, San Francisco Opera, and Santa Fe Opera. In Europe, Lopardo made his debut as Fenton at Teatro di San Carlo in Naples. He has sung as Edgardo, Rodolfo, the Duke, and Lenski in Eugene Onegin at the Opéra National de Paris. At the Royal Opera House, Covent Garden he has sung as Lindoro in L'italiana in Algeri. Other major European theatres where he has performed include the Vienna State Opera, the Grand Théâtre de Genève, Teatro alla Scala in Milan, Teatro Comunale in Florence and Teatro Real in Madrid. He has appeared in the Salzburg, Salzburg Festival, Glyndebourne Glyndebourne Opera Festival, and Aix-en-Provence festivals Aix-en-Provence Festival, and sung with De Nederlandse Opera. Throughout his career, Lopardo has sung with orchestras throughout the world. He has performed in Verdi's Requiem with the London Symphony Orchestra and the Montreal Symphony Orchestra, Mozart's Requiem with the Berlin Philharmonic at La Scala, Berlioz's Requiem and Orff's Carmina Burana with the Boston Symphony Orchestra, Beethoven's Ninth Symphony with the San Francisco Symphony Orchestra, Rossini's Stabat Mater with the Philadelphia Orchestra and Dvořák's Requiem with the Danish Radio Symphony Orchestra. Awards In 1983, Lopardo won first prize in the Liederkranz Foundation competition. He was awarded an honorary doctorate from Queens College, Aaron Copland School of Music, in 1992, and in 2005 won a Grammy Award for Best Choral Performance for a recording of the Berlioz Requiem, performed with the Atlanta Symphony Orchestra and Chorus and conducted by Robert Spano. Discography Requiem (Mozart), with Riccardo Muti. EMI Records, 1987 L'italiana in Algeri (Rossini), with Claudio Abbado. Deutsche Grammophon, 1987 Don Giovanni (Mozart), with Riccardo Muti. EMI Records, 1990 Great Mass in C minor (Mozart), with Leonard Bernstein. Deutsche Grammophon, 1991 Falstaff (Verdi), with Sir Colin Davis. BMG Music, 1991 Il signor Bruschino (Rossini), with Ion Marin. Deutsche Grammophon, 1991 Il barbiere di Siviglia (Rossini), with Claudio Abbado. Deutsche Grammphon, 1992 Semiramide (Rossini), with Ion Marin. Deutsche Grammophon, 1992 Carmina Burana (Orff), with André Previn. Deutsche Grammophon, 1992 Don Pasquale (Donizetti), with Roberto Abbado. BMG Music, 1993 Idomeneo (Mozart), with James Levine. Decca Records, 1993 Così fan tutte (Mozart), with Sir Georg Solti. Decca Records, 1993 La traviata (Verdi), with (Sir George Solti). Decca Records, 1994 Requiem (Berlioz), with
</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.