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>
Obernburg Obernburg am Main (officially Obernburg a.Main) is a town in the Miltenberg district in the Regierungsbezirk of Lower Franconia (Unterfranken) in Bavaria, Germany. It has a population of around 8,500. Geography Location Obernburg lies at the mouth of the river Mümling, where it empties into the Main, at the foot of the Odenwald (range). History Between 83 and 85, the Romans constructed the Obernburg castrum, named Nemaninga, to guard the Limes Germanicus which followed the Main river here. It was originally built from wood but in the middle of the 2nd century AD replaced by a stone fort. The castrum was the garrison of the Cohors IIII Aquitanorum equitata. The stone fort, with an area of 2.9 ha and a nearly rectangular ground plan of roughly 185/188 × 160 m was oriented to the river Main. Obernburg's old town still somewhat corresponds to the castrum's footprint, with some of the thoroughfares corresponding to Roman streets, such as today's Römerstrasse which follows the course of the fort's via principalis. A beneficiarii station has been shown to have existed on the Limes road south of the castrum, from which numerous dedication stones have been secured. In the Alamannic invasion of 259 and 260, the castrum fell, but was resettled later on. In the 4th and 5th centuries the Franks settled the area. In 1204, Wolfger von Erla built a castle in defiance of the Count of Ortenburg in a feud. On 25 March 1313, Obernburg was raised to town by Archbishop of Mainz Peter of Aspelt. The confirmation of town rights by Louis the Bavarian came on 27 July 1317 in a document issued in Aschaffenburg. Until the Reichsdeputationshauptschluss in 1803, Obernburg belonged to Electoral Mainz. Thereafter it belonged to the newly formed Principality of Aschaffenburg, with which it passed in 1814 (by this time it had become a department of the Grand Duchy of Frankfurt) to the Kingdom of Bavaria. The town became the seat of an Amtsgericht. In 1872, the railway line Aschaffenburg to Miltenberg was opened, with a stop at Obernburg. The first local bridge across the Main was built in 1892. In 1915-7 the Main was channeled and the weir with lock and a hydroelectric plant was constructed. Until 1 July 1972, Obernburg was the seat of a like-named district. This was abolished in the course of municipal reform. On 1 May 1978, the neighbouring municipality of Eisenbach was amalgamated with Obernburg. Governance Mayors since 2014: Dietmar Fieger (CSU) 2002 - 2014 Walter Berninger 1975 - 2002 Wendelin Imhof 1964 - 1975 Valentin Ballmann (FDP) 1945 - 1964 Willy Nees Town twinning Aszód, Pest County, Hungary Coat of arms The town's arms might be described thus: Argent on a mount vert a buck attired statant gules, in his mouth a bunch of grapes Or stalked of the second, in sinister a demi-tree of the second. The town once bore different arms showing the Wheel of Mainz, but this charge was dropped when the town became part of Bavaria in 1814. The new arms were introduced on the Mayor's Medal in 1819. It has appeared in all official seals ever since. Economy Obernburg's industrial area lies near the outlying centre of Eisenbach in the town's south. The largest company is the firm Reis Robotics. On the other side of the Main lies another industrial area called the Industrie Center Obernburg (ICO). There, in line with tradition, various kinds of chemical fibres are produced. Moreover, the industrial park is home to many other, smaller businesses in various fields. Although the industrial park bears the name "Obernburg", and this is
</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.