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>
Anna Steiger Anna Justine Steiger, born 1960 is a British and American opera singer who has sung leading soprano and mezzo-soprano roles in British, European and North American opera houses. She has sung many recitals at festivals which have been broadcast live on the BBC, Radio France and the Australian Broadcasting Corporation. In 2010, she was invited to participate in the Australian Chamber Music Festival. She is still active as a recitalist and opera singer. She also has a year one Master in Food History from the University François Rabelais de Tours, France. Early life Steiger was born in Los Angeles, California, the daughter of actors Claire Bloom and Rod Steiger. She trained with Noelle Barker at the Guildhall School of Music in London from 1977 to 1983 and then with Vera Rózsa at the National Opera Studio from 1985 to 1986. She won the Sir Peter Pears Award in 1982, the Richard Tauber Prize in 1984, and the John Christie Award in 1985. Anna holds both British and American nationalities. Career Her professional debut was as Dorabella in Così fan tutte in 1984 with Opera 80. In 1986 she sang the title role in Monteverdi’s L'incoronazione di Poppea at Glyndebourne, and she returned to sing in many productions there in roles such as Concepción in L'heure espagnole. With Glyndebourne Touring Opera, she sang the role of Sashka in the 1987 world premiere of Nigel Osborne's The Electrification of the Soviet Union. From 1988, she sang at other opera houses in the UK, including the Royal Opera House, Covent Garden, with roles in Parsifal, Jenůfa and The Knot Garden, and the English National Opera in The Makropulos Affair. Abroad, her roles have included Despina in Così fan tutte (Amsterdam, Stuttgart and Zurich), Zerlina in Don Giovanni (Seattle Opera, Stuttgart and Nancy), Governess in The Turn of the Screw (La Fenice), Jenny in Rise and Fall of the City of Mahagonny (Los Angeles Opera), the Composer in Ariadne auf Naxos (Opera Theatre of St. Louis), Concepción (New York City Opera and Geneva), Serpetta in La finta giardiniera (Frankfurt and Lausanne), and Damigella in L'incoronazione di Poppea at the Salzburg Festival. She has sung many times with Nicolaus Harnoncourt and in 1991 recorded with him the role of Despina with the Concertgebouw Orchestra for the Teldec/Warner Classics label. Still active in Opera, in 2018 and 2019 she will appear in Verdi's La Traviata at the Capitole of Toulouse, and Rossini's Le Comte Ory at the Opera de Rennes and the Opera de Rouen. Mid-1990s – present In the mid-1990s Steiger began concentrating on the mezzo-soprano repertoire and went on to sing: Melanto in Il ritorno d'Ulisse in patria at the Brooklyn Academy of Music in New York with the Dutch National Opera (1993) Magdalene in Die Meistersinger von Nürnberg in Stuttgart (1994) Meg Page in Falstaff at the Dutch National Opera (1994, as part of the Holland Festival) Maddalena in Rigoletto at the Opéra de Monte-Carlo (1995) La libellule, La tasse chinoise, and Maman in L'enfant et les sortilèges at La Fenice (1996) Flora in La traviata at the Dutch National Opera (1997) Giunone in Agrippina in Palermo (1997) Dorothée in Massenet’s Cendrillon in Geneva (1998) Marcellina in The Marriage of Figaro at Monte Carlo, Teatro Real in Madrid (1998) and at the Dutch National Opera (2001) Tisbe in La Cenerentola at the Opéra Bastille (1998), Marseilles and Geneva, and at the Opéra de Rennes ( 2015) Marquise in La fille du régiment in St Gallen (2000) and at the Opéra de Lausanne (2016) Baronessa in Il cappello di paglia di Firenze
</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.