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>
Coniothyrium marrubii Fairm. 1923 Coniothyrium olivaceum var. salsolae Fairm. 1918 Coniothyrium olivaceum var. thermopsidis Fairm. 1918 Coniothyrium praeclarum Fairm. 1922 Coniothyrium sepium Fairm. 1918 Cryptodiscus araneocinctus Fairm. 1913 Cryptostictis utensis Fairm. 1918 Cucurbitaria rimulina Fairm. 1922 Cylindrium gossypinum Fairm. 1921 Cylindrocolla faecalis Fairm. 1920 Cytospora nyssae Fairm. 1922 Dendrophoma nigrescens Fairm. 1922 Diaporthe ailanthi var. megacera Fairm. 1906 Diaporthe elaeagni var. americana Fairm. Diaporthe hamamelidis Fairm. 1922 Diatrype standleyi Fairm. 1918 Dicaeoma nemoseridis Fairm. 1923 Dictyochora gambellii Fairm. 1918 Didymaria arthoniaespora Fairm. 1906 Didymella eurotiae Fairm. 1918 Didymella nucis-hicoriae Fairm. 1921 Didymella ramonae Fairm. 1923 Didymochaeta columbiana Fairm. 1922 Didymosphaeria lonicerae-ripariae Fairm. 1922 Didymosphaeria nuciseda Fairm. 1921 Didymosporium propolidioides Fairm. 1922 Diplodia akebiae Fairm. 1913 Diplodia hamamelidis Fairm. 1910 Diplodia heteromelina Fairm. 1923 Diplodina epicarya Fairm. 1921 Discella zythiacea Fairm. 1922 Discosia poikilomera Fairm. 1923 Dothiorella nucis Fairm. 1921 Dothiorella phomopsis Fairm. 1918 Eutypella brunaudiana var. ribis-aurei Fairm. 1918 Eutypella ceranata Fairm. 1923 Eutypella domicalis Fairm. 1923 Excipula dictamni Fairm. 1910 Exosporium scolecomorphum Fairm. 1922 Gamonaemella Fairm. 1922 Gamonaemella divergens Fairm. 1922 Gibberidea arthrophyma Fairm. 1918 Gloniopsis lathami Fairm. 1922 Gloniopsis lathami var. asymetrica Fairm. 1922 Glonium vestigiale Fairm. 1923 Graphium sordidiceps Fairm. 1922 Helotium vitellinum var. pallidostriatum Fairm. 1904 Hendersonia arundinariae Fairm. 1922 Hendersonia coccolobina Fairm. 1913 Hendersonia eriogoni Fairm. 1918 Hendersonia foliorum-hamamelidina Fairm. 1922 Hendersonia hortilecta Fairm. 1918 Hendersonia hydrangeae Fairm. 1910 Hendersonia hypocarpa Fairm. 1913 Hendersonia leucelenes Fairm. 1918 Hendersonia petalostemonis Fairm. 1918 Hendersonia stanleyellae Fairm. 1918 Hendersonia subcultriformis Fairm. 1918 Heteropatella acerina Fairm. 1922 Hypoderma ptarmicola Fairm. 1906 Hysterium standleyanum Fairm. 1918 Karschia crassa Fairm. 1904 Karschia elaeospora Fairm. 1921 Lasiosphaeria ovina var. aureliana Fairm. 1904 Leptosphaeria cacuminispora Fairm. 1921 Leptosphaeria coleosanthi Fairm. 1918 Leptosphaeria eustoma f. leguminosa Fairm. 1906 Leptosphaeria exocarpogena Fairm. 1921 Leptosphaeria galiorum var. gnaphaliana Fairm. 1923 Leptosphaeria hamamelidis Fairm. 1922 Leptosphaeria lyciophila Fairm. 1922 Leptosphaeria lyndonvillae Fairm. 1906 Leptosphaeria nigricans var. grindeliae Fairm. 1918 Leptosphaeria physostegiae Fairm. 1906 Leptosphaeria pseudohleria Fairm. 1922 Leptosphaeria quamoclidii Fairm. 1918 Leptospora stictochaetophora Fairm. 1906 Leptostroma mitchellae Fairm. 1922 Lophiostoma cephalanthi Fairm. 1904 Lophiostoma triseptatum var. acutum Fairm. Lophiostoma triseptatum var. diagonale Fairm. Lophiostoma triseptatum var. pluriseptatum Fairm. Lophiotrema halesiae Fairm. 1910 Macrophoma fitzpatriciana Fairm. 1921 Melanomma nigriseda Fairm. 1922 Melanopsamma amphisphaeria var. carpigena Fairm. 1921 Melanopsamma subrhombispora Fairm. 1921 Merulius leguminosus Fairm. 1906 Merulius lyndonvillae Fairm. 1906 Metasphaeria leguminosa Fairm. 1906 Metasphaeria lyndonvillae Fairm. 1906 Microdiplodia anograe Fairm. 1918 Microdiplodia diervillae Fairm. 1918 Microdiplodia galiicola Fairm. 1918 Microdiplodia ilicigena Fairm. 1922 Microdiplodia leucelenes Fairm. 1918 Microdiplodia mimuli Fairm. 1923 Microdiplodia ramonae Fairm. 1923 Microdiplodia valvuli Fairm. 1910 Mollisia lanaria Fairm. 1911 Monosporium avellaneum Fairm. 1921 Mucor taeniae Fairm. 1890 Mycosphaerella chlorogali Fairm. 1923 Mycosphaerella nemoseridis Fairm. 1923 Mycosphaerella weigelae Fairm. 1910 Myriangium catalinae Fairm. 1923 Oospora sceliscophorus Fairm. 1906 Ophiobolus gnaphalii var. lanaria Fairm. 1911 Ophiobolus sceliscophorus Fairm. 1906 Patellea oreophila Fairm. 1918 Pestalotia nuciseda Fairm. 1921 Pestalotia truncata var. septoriana Fairm. 1913 Phialea phaeoconia Fairm. 1911 Phialea vitellina var. pallidostriata Fairm. Phoma albovestita Fairm. Phoma cercidicola Fairm. 1911 Phoma dioscoreae Fairm. 1922 Phoma estrelti Fairm. 1918 Phoma lanuginis Fairm. 1910 Phoma lyndonvillensis Fairm. 1890 Phoma megarrhizae Fairm. 1923 Phoma regina Fairm. 1911 Phoma rudbeckiae Fairm. 1890 Phoma sidalceae Fairm. 1918 Phoma verbascicarpa Fairm. 1918 Phoma weldiana Fairm. Phomopsis carposchiza Fairm. 1921 Phomopsis ericaceana Fairm. 1918 Phomopsis fraterna Fairm. 1922 Phomopsis nicotianae Fairm. 1923 Phomopsis rubiseda Fairm. 1922 Phomopsis trillii Fairm. 1922 Phyllachora blepharoneuri Fairm. 1918 Phyllachora nuttalliana Fairm. 1923 Phyllosticta dictamni Fairm. 1910 Phyllosticta kalmicola var. berolinensiformis Fairm. 1910 Phyllosticta mortonii Fairm. 1913 Phyllosticta pitcheriana Fairm. 1910 Phyllosticta rhoiseda Fairm. 1923 Physalospora eucalyptina Fairm. 1923 Physalospora heteromelina Fairm. 1923 Platystomum phyllogenum Fairm. 1918 Pleospora aureliana
</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.