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>
research in both areas. His annotated Shuowen edition (Shuowen Jiezi Zhu) is the one most commonly used by students today. Although the Shuowen Jiezi has had incalculable value to scholars and was traditionally relied upon as the most important early source on the structure of Chinese characters, many of its analyses and definitions have been eclipsed as vague or inaccurate since the discovery of oracle bone inscriptions in the late 19th century. It therefore can no longer be relied upon as the single, authoritative source for definitions and graphic derivations. Xu Shen lacked access to oracle bone inscriptions from the Shang dynasty and bronzeware inscriptions from the Shang and Western Zhou dynasty, to which scholars now have access; they are often critical for understanding the structures and origins of logographs. For instance, he put lǜ (慮 "be concerned; consider") under the section heading 思 (sī "think") and noted it had a phonetic of hǔ (虍 "tiger"). However, the early bronze graphs for lǜ (慮) have the xīn (心 "heart") semantic component and a lǚ (呂 "a musical pitch") phonetic, also seen in early forms of lǔ (盧 "vessel; hut") and lǔ (虜 "captive"). Scholarship in the 20th century offered new understandings and accessibility. Ding Fubao collected all available Shuowen materials, clipped and arranged them in the original dictionary order, and photolithographically printed a colossal edition. Notable advances in Shuowen research have been made by Chinese and Western scholars like Mǎ Zōnghuò (馬宗霍), Mǎ Xùlún (馬敘倫), William G. Boltz, Weldon South Coblin, Thomas B.I. Creamer, Paul Serruys, Roy A. Miller, and K.L. Thern. See also List of Kangxi radicals – a later way to classify Chinese characters Shuowen Jiezi (television program) Notes References Atsuji Tetsuji 阿辻哲次. Kanjigaku: Setsumon kanji no sekai 漢字学―説文解字の世界. Tôkyô: Tôkai daigaku shuppankai, 1985. , Bottéro Françoise. (1996). «Sémantisme et classification dans l'écriture chinoise : Les systèmes de classement des caractères par clés du Shuowen Jiezi au Kangxi Zidian. Collège de France-IHEC. (Mémoires de l'Institut des Hautes Études Chinoises; 37). Creamer, Thomas B.I. (1989) "Shuowen Jiezi and Textual Criticism in China," International Journal of Lexicography 2:3, pp. 176–187. Ding Fubao (丁福保). 1932. Shuowen Jiezi Gulin (說文解字詁林 "A Forest of Glosses on the Shuowen Jiezi"). 16 vols. Repr. Taipei: Commercial Press. 1959. 12 vols. Duan Yucai (1815). "說文解字注" (Shuōwén Jĭezì Zhù, commentary on the Shuōwén Jíezì), compiled 1776–1807. This classic edition of Shuowen is still reproduced in facsimile by various publishers, e.g., in Taipei by Li-ming Wen-hua Co Tiangong Books (1980, 1998), which edition conveniently highlights the main entry seal characters in red ink, and adds the modern kǎi 楷 standard script versions of them at the tops of the columns, with bopomofo phoneticization alongside. (English translation of Wénzìxué Gàiyào 文字學概要, Shangwu, 1988.) Needham, Joseph, Lu Gwei-djen, and Huang Hsing-Tsung (1986). Science and Civilisation in China, Volume 6 Biology and Biological Technology, Part 1 Botany. Cambridge University Press. O'Neill, Timothy (2013), "Xu Shen's Scholarly Agenda: A New Interpretation of the Postface of the Shuowen jiezi," Journal of the American Oriental Society 133.3: 413-440. Serruys, Paul L-M. (1984) "On the System of the Pu Shou 部首 in the Shuo-wen chieh-tzu 說文解字", Zhōngyāng Yánjiūyuàn Lìshǐ Yǔyán Yánjiùsuǒ Jíkān (中央研究院歷史語言研究所集刊, Journal of the Institute of History and Philology, Academia Sinica), v.55:4, pp. 651–754. Wang Guowei (1979). "史籀篇敘錄" [Commentary on the Shĭ Zhoù Piān] and "史籀篇疏證序" [Preface to a Study of the Shĭ Zhòu Piān], in 海寧王靜安先生遺書‧觀堂集林 [The Collected works of Mr. Wáng Jìng-Ān of Hǎiníng (Guan Tang Ji Lin)]. Taibei: 商務印書館 Commercial Press reprint, pp. 239–295. Xu Zhongshu :zh:徐中舒. "丁山說文闕義箋" [Commentary on the errors in Shuowen by Ding Shan] External links Explicatives
</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.