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>
List of moths of Equatorial Guinea There are about 420 known moth species of Equatorial Guinea. The moths (mostly nocturnal) and butterflies (mostly diurnal) together make up the taxonomic order Lepidoptera. This is a list of moth species which have been recorded in Equatorial Guinea. Alucitidae Alucita plumigera (Strand, 1913) Anomoeotidae Anomoeotes leucolena Holland, 1893 Anomoeotes separatula Strand, 1913 Anomoeotes tenellula Holland, 1893 Staphylinochrous heringi Alberti, 1954 Arctiidae Afraloa bifurca (Walker, 1855) Afrasura indecisa (Walker, 1869) Alpenus maculosa (Stoll, 1781) Amerila nigroapicalis (Aurivillius, 1900) Amerila vidua (Cramer, 1780) Anapisa connexa (Walker, 1854) Archilema uelleburgensis (Strand, 1912) Archithosia costimacula (Mabille, 1878) Archithosia flavifrontella (Strand, 1912) Archithosia makomensis (Strand, 1912) Asura craigii (Holland, 1893) Balacra elegans Aurivillius, 1892 Balacra flavimacula Walker, 1856 Balacra preussi (Aurivillius, 1904) Balacra pulchra Aurivillius, 1892 Balacra rubricincta Holland, 1893 Ceryx albimacula (Walker, 1854) Cragia distigmata (Hampson, 1901) Cyana flammeostrigata Karisch, 2003 Cyana heidrunae (Hoppe, 2004) Cyana torrida (Holland, 1893) Dubatolovia neurophaea (Hampson, 1911) Epilacydes simulans Butler, 1875 Euchromia guineensis (Fabricius, 1775) Euchromia lethe (Fabricius, 1775) Kiriakoffalia guineae (Strand, 1912) Metarctia benitensis Holland, 1893 Nacliodes microsippia Strand, 1912 Nanna eningae (Plötz, 1880) Neuroxena fulleri (Druce, 1883) Nyctemera acraeina Druce, 1882 Nyctemera apicalis (Walker, 1854) Nyctemera chromis Druce, 1882 Nyctemera perspicua (Walker, 1854) Ovenna guineacola (Strand, 1912) Ovenna subgriseola (Strand, 1912) Pseudothyretes nigrita (Kiriakoff, 1961) Pseudothyretes rubicundula (Strand, 1912) Pusiola celida (Bethune-Baker, 1911) Radiarctia lutescens (Walker, 1854) Rhipidarctia flaviceps (Hampson, 1898) Spilosoma aurantiaca (Holland, 1893) Spilosoma rava (Druce, 1898) Spilosoma togoensis Bartel, 1903 Tesma nigrapex (Strand, 1912) Brahmaeidae Dactyloceras canui Bouyer, 2002 Choreutidae Brenthia octogemmifera Walsingham, 1897 Copromorphidae Rhynchoferella hoppei Mey, 2007 Cossidae Eulophonotus elegans (Aurivillius, 1910) Holcoceroides ferrugineotincta Strand, 1913 Oreocossus occidentalis Strand, 1913 Crambidae Aethaloessa floridalis (Zeller, 1852) Argyractis limalis Viette, 1957 Botyodes asialis Guenée, 1854 Bradina sordidalis (Dewitz, 1881) Cadarena sinuata (Fabricius, 1781) Chilo aleniella (Strand, 1913) Cnaphalocrocis poeyalis (Boisduval, 1833) Cotachena smaragdina (Butler, 1875) Eoophyla alba Mey, 2009 Eporidia dariusalis Walker, 1859 Glyphandra biincisalis Karsch, 1900 Hymenia perspectalis (Hübner, 1796) Metoeca foedalis (Guenée, 1854) Orphanostigma abruptalis (Walker, 1859) Orphanostigma fervidalis (Zeller, 1852) Orphanostigma latimarginalis (Walker, 1859) Pardomima distortana (Strand, 1913) Phostria erebusalis (Hampson, 1898) Pyrausta sexplagialis Gaede, 1917 Spoladea recurvalis (Fabricius, 1775) Synclera traducalis (Zeller, 1852) Ulopeza alenialis Strand, 1913 Ulopeza conigeralis Zeller, 1852 Ulopeza panaresalis (Walker, 1859) Zebronia phenice (Cramer, 1780) Drepanidae Epicampoptera difficilis Hering, 1934 Elachistidae Cryptolechia viridisignata (Strand, 1913) Eupterotidae Epijana cinerea Holland, 1893 Epijana cosima (Plötz, 1880) Janomima dannfelti (Aurivillius, 1893) Stenoglene sulphureotinctus Strand, 1912 Gelechiidae Brachmia ditemenitis Meyrick, 1934 Ptilothyris purpurea Walsingham, 1897 Geometridae Aletis helcita (Linnaeus, 1763) Asthenotricha amblycoma Prout, 1935 Asthenotricha fernandi Prout, 1935 Bathycolpodes semigrisea (Warren, 1897) Biston abruptaria (Walker, 1869) Biston johannaria (Oberthür, 1913) Braueriana karischi Herbulot, 1996 Chlorodrepana inaequisecta Herbulot, 1999 Cleora herbuloti D. S. Fletcher, 1967 Cleora pavlitzkiae (D. S. Fletcher, 1958) Collix biokensis Herbulot, 1999 Collix brevipalpis Herbulot, 1999 Colocleora smithi (Warren, 1904) Comibaena barnsi Prout, 1930 Conolophia persimilis (Warren, 1905) Derambila punctisignata Walker, 1863 Dioptrochasma ablegata Herbulot, 1996 Dioptrochasma calderae Herbulot, 1996 Dioptrochasma mercyi Herbulot, 1956 Ecpetala camerunica Herbulot, 1988 Eois alticola (Aurivillius, 1925) Epigynopteryx tabitha Warren, 1901 Epigynopteryx termininota Prout, 1934 Erastria albosignata (Walker, 1863) Ereunetea minor (Holland, 1893) Eupithecia calderae Herbulot, 1999 Eupithecia fernandi Herbulot, 1999 Eupithecia jeanneli Herbulot, 1953 Eupithecia karischi Herbulot, 1999 Eupithecia nigribasis (Warren, 1902) Hypochrosis banakaria (Plötz, 1880) Hypocoela turpisaria (Swinhoe, 1904) Hypomecis nessa Herbulot, 1995 Hypomecis quaerenda Herbulot, 2000 Idaea pulveraria (Snellen, 1872) Idiodes pectinata (Herbulot, 1966) Megadrepana cinerea Holland, 1893 Melinoessa aemonia (Swinhoe, 1904) Melinoessa amplissimata (Walker, 1863) Melinoessa asteria Prout, 1934 Melinoessa croesaria Herrich-Schäffer, 1855 Menophra bilobata Herbulot, 1995 Menophra nathaliae Herbulot, 1998 Mimaletis postica (Walker, 1869) Narthecusa tenuiorata Walker, 1862 Piercia ansorgei
</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.