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>
Constantin von Economo Constantin Freiherr von Economo (21 August 1876 – 21 October 1931) was an Austrian psychiatrist and neurologist of Romanian origin and Greek descent. He is mostly known for his discovery of encephalitis lethargica and his atlas of cytoarchitectonics of the cerebral cortex. Biography Youth and schooling Constantin Economo von San Serff was born in Brăila, Romania, to Johannes and Helene Economo, a wealthy family with large holdings in Thessaly and Macedonia. The Economo (Οικονόμου, Oikonomou) family originated from Edessa, in the Ottoman Sanjak of Salonica (modern Edessa, Central Macedonia, Greece) where some of Constantin's ancestors were notables, and his family included many bishops. In 1877, the family moved to Trieste, Austria-Hungary, Scientific work Economo published about 150 articles and books. In his early studies, he concentrated on the neuroanatomy and physiology of the midbrain, pons and trigeminal nerve pathway and wrote articles dealing for example with choreic hemiplegia, pontine tumors, mastication and deglutition. Encephalitis lethargica This encephalitis with acute inflammation of the grey matter occurred in epidemic form worldwide from 1915 until about 1924, mainly in Europe and North-America, causing lesions in the substantia nigra. Von Economo described in detail the symptoms, pathology and histology of the disease which was soon called Von Economo’s Disease. Three types of this illness could be distinguished. The symptoms of the somnolent-ophthalmoplegic form were somnolence, often leading to coma and death, paralysis of cranial nerves, extremities and eye muscles and expressionless faces. The hyperkinetic form manifested itself with restlessness, motor disturbances as twitching of muscle groups, involuntary movements, anxious mental state and insomnia or inversion of sleep patterns. The amyostatic-akinetic form often led to a chronic state similar to Parkinson's disease, called postencephalitic parkinsonism. The symptoms were weakness of muscles, rigidity of movements and insomnia or sleep inversion. Von Economo published his findings in an article of 1917, "Die Encephalitis lethargica," and in the monograph "Die Encephalitis lethargica, ihre Nachkrankheiten und ihre Behandlung" in 1929 (Encephalitis lethargica – Its sequelae and treatment). The condition has not occurred since 1940. Von Economo was inspired by this illness to search for a centre of sleep in the brain. Cytoarchitectonic studies After the first attempts to divide the human cortex into areas according to the cytoarchitecture by Theodor Meynert, Vladimir Betz, Alfred Walter Campbell, Grafton Elliot Smith and Korbinian Brodmann, von Economo started his own project in 1912 and was joined by Georg N. Koskinas in 1919. In 1925, their monumental work "Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen" ("Cytoarchitectonics of the Adult Human Cerebral Cortex") was published. This work was presented in two volumes, a textbook of more than 800 pages and an atlas with 112 large-sized microphotographic plates of the cortex. The textbook contains detailed descriptions of their studies and an introduction to the history of cytoarchitectonic research. Two years later, a shorter version, "Zellaufbau der Großhirnrinde" ("The Cellular Architecture of the Cerebral Cortex") was published and translated into French, Italian and English. With their atlas, von Economo and Koskinas hoped to create a basis for future brain research and the localisation of brain functions since they assumed that cytoarchitectonic differences reflect functional differences. The atlas was republished in 2008. Von Economo and Koskinas divided the cortex into seven lobes (Lobi) with further subdivisions (Regiones and Areae): Lobus frontalis (F): 35 Areae Regio praerolandica: 10 Areae Regio frontalis: 9 Areae Regio orbitomedialis: 16 Areae Lobus limbicus superior (L): 13 Areae Regio limbica superior anterior: 5 Areae Regio limbica superior posterior: 3 Areae Subregio retrosplenialis: 5 Areae Lobus insulae (I): 6 Areae Lobus parietalis (P): 18 Areae Regio postcentralis: 6 Areae Regio parietalis
</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.