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>
Christian Keymann Christian Keymann (also Christian Keimann; 27 February 1607 – 13 January 1662) was a German hymnwriter. He is known for writing the chorale "Meinen Jesum laß ich nicht" in 1658, which served as the base for Bach's chorale cantata Meinen Jesum laß ich nicht, BWV 124, and other compositions. Career Keymann was born in Pankratz, Habsburg Bohemia, in 1607, the son of Zacharias Keimann, a Lutheran pastor. From 1627 to 1634, he studied at the University of Wittenberg. After graduation he worked at the gymnasium of Zittau, first as associate director, then as rector in 1638. He died of a stroke in 1662. Hymns Two of his most popular hymns were translated into English; "O rejoice, ye Christians, loudly" ("Freuet euch, ihr Christen alle") found in Chorale Book, No. 33, and "Jesus will I never leave" ("Meinen Jesum laß ich nicht") found in United Brethren's Hymn Book, No. 464. Donald G. Bloesch in his book The struggle of prayer (1980) describes it as a "moving hymn". His hymns in general have been described as "being of genuine poetic ring, fresh, strong, full of faith under manifold and heavy trials, and deeply spiritual". Music Keymann collaborated with composer Andreas Hammerschmidt who created tunes for Keymann's hymns. In 1646, a collection of hymns Mnemosyne sacra was published by Keymann in Leipzig, including five tunes by Hammerschmidt. In 1658, the collection Fest-, Buß- und Danklieder (Songs for feast, repentance and thanks) was printed in Zittau, containing the hymn "Meinen Jesum laß ich nicht" (I will not let go of my Jesus). In 1725, Johann Sebastian Bach based his chorale cantata for the first Sunday after Epiphany on this entire hymn, but he also used single stanzas in other cantatas, from the same chorale in Wachet! betet! betet! wachet! BWV 70, Was Gott tut, das ist wohlgetan, BWV 98 and Mein liebster Jesus ist verloren, BWV 154. In the first (1727/1729) version of his St Matthew Passion, Part I was concluded with the final stanza of the chorale, "Jesum laß ich nicht von mir" (Jesus I'll not let leave me). He used a stanza from "Freuet euch, ihr Christen alle" (Be joyful, all ye Christians, 1646), also on a melody by Hammerschmidt, in Darzu ist erschienen der Sohn Gottes, BWV 40. Max Reger based three compositions on "Meinen Jesum laß ich nicht", a chorale prelude (Op. 67 No.26, 1902), a composition for soprano, mixed choir, violin, viola and Organ (1905), and again a chorale prelude (Op. 135a No. 17, 1914). Sigfrid Karg-Elert wrote a chorale improvisation for organ (Fughetta), Op. 65 No 49. References Sources Christian Weise: Memoria Christiani Keimani. Zittau 1689 Heinrich Julius Kämmel: Christian Keimann Programm Zittau 1856 Theodor Gärtner (ed.): Quellenbuch zur Geschichte des Gymnasiums in Zittau. vol. 1, Leipzig 1905, p. 88-90 Walther Killy (ed.): Literaturlexikon. Autoren und Werke deutscher Sprache (15 volumes). Gütersloh, Munich: Bertelsmann-Lexikon-Verlag, 1988–1991 (CD-ROM: Berlin 1998, ) External links Category:German Protestant hymnwriters Category:1607 births Category:1662 deaths Category:17th-century hymnwriters
</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.