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>
Marktheidenfeld Marktheidenfeld is a town in the Main-Spessart district in the Regierungsbezirk of Lower Franconia (Unterfranken) in Bavaria, Germany and the seat (but not a member) of the Verwaltungsgemeinschaft (municipal association) of Marktheidenfeld. The town has around 11,000 inhabitants. Geography Location The town lies 24 km west of Würzburg at the Mainviereck (Main Square) on the eastern side of the Spessart (range), geologically on the seam between the Spessart red sandstone area and the Muschelkalk area of the Fränkische Platte (a flat, mostly agricultural region), which between the Main Square and the Maindreieck (Main Triangle) is known as the Marktheidenfelder Platte. Subdivisions Marktheidenfeld's Stadtteile are Glasofen (amalgamated in 1972), Zimmern (1974), Marienbrunn (1975), Altfeld, Michelrieth and Oberwittbach (all in 1978). The town has the following Gemarkungen (traditional rural cadastral areas): Altfeld, Glasofen, Marienbrunn, Marktheidenfeld, Michelrieth, Oberwittbach and Zimmern. History Heidenfeld may have arisen during the Frankish taking of the land in the early 8th century. Already by 855 a place by that name was mentioned as belonging to the Holzkirchen Monastery, which from this time belonged to the Fulda Abbey. The Counts of Wertheim, who were the monastery's Vögte also managed in the late 13th century to secure the same office over Heidenfeld. In 1397, Marktheidenfeld was first described as a town (oppidum). Between 1522 and 1530, the Reformation was introduced by Georg II into the County of Wertheim, and thereby also into Marktheidenfeld. After a period in which Catholic and Protestant worship co-existed, the majority turned to Protestantism. The town also experienced an economic boom at that time. However, due to a bad harvest in 1524, a peasant uprising erupted in 1525. Although hesitant at first, the Count of Wertheim supported the local peasants for a while before their army was defeated at Würzburg. In 1556, the line of the Counts of Wertheim died out. Following extended inheritance disputes, Heidenfeld was taken over by the Prince-Bishop of Würzburg in 1612. Under Bishop Julius Echter von Mespelbrunn the Counterreformation forced the local populace back into the Catholic church. This met with resistance and Echter established a new parish at Heidenfeld, as well as ordering the construction of a large church, the St.- Laurentius-Kirche. In 1615, the town was awarded the status of Flecken and over the next decades started to be known as "Marktheidenfeld". From 1632 to 1634, after the Swedes’ victories in the Thirty Years' War, the town was once again part of the County of Wertheim and Protestant, albeit for only a short time, for the town soon returned to Würzburg. In 1649, the name Marktheidenfeld made its first appearance, to distinguish the town from the Heidenfeld Monastery near Schweinfurt, which likewise belonged to Würzburg. The Amt of Würzburg was secularized in Bavaria's favour in 1803, and then ceded in a border adjustment treaty in 1807 to the Grand Duchy of Würzburg, with which it passed in 1814 to the Kingdom of Bavaria. In 1814, Marktheidenfeld became the seat of the Homburg district court, forerunner of the Marktheidenfeld Bezirksamt (a local authority), which in 1939 took the name Landratsamt (district head's office). In 1948, Marktheidenfeld, which underwent a great upswing in population growth after the Second World War with the arrival of Heimatvertriebene, was raised to town. In 1972, the Marktheidenfeld district (Landkreis Marktheidenfeld) was abolished. Since the municipal reforms in Bavaria (1972–1976), the formerly self-administering communities of Altfeld, Glasofen, Marienbrunn, Michelrieth, Oberwittbach and Zimmern have belonged to Marktheidenfeld. Demographics Population development The town had some 530 inhabitants in 1542, roughly 730 to 800 in the late 16th century, 630 in 1633 and by the end of 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.