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>
Torbay, Western Australia Torbay is a small town and a bay in the Great Southern region of Western Australia, west of Albany. Torbay is within the City of Albany local government area. The Torbay townsite was gazetted in 1910. The Torbay area is on the eastern fringe of the karri forest region, and with some notable blocks of remnant tall forest. Large granite outcrops are also common. Beaches on the bay tend towards fine white sand. Where streams occur, they are clear but stained dark brown in colour from high-tannin-content vegetation. Children in the area usually attend schools in Albany, travelling there by school bus. There is also a local independent school, the Woodbury Boston Primary School. History The town is named after Tor Bay, a bay on the coast to the south originally named by Captain Matthew Flinders in 1801 after Tor Bay in Devon, the home port of Admiral Richard Howe's Channel Fleet, for whom Flinders had served as a midshipman from 1793 to 1794. Admiral Howe's nickname was "Lord Torbay". Flinders identified a number of local features with Lord Howe-related names, including Torbay (the bay), Torbay Inlet, Torbay Head and West Cape Howe (originally named Cape Howe by George Vancouver), to avoid confusion with James Cook’s Cape Howe in New South Wales. Pre-settlement explorers of the Torbay area included: Matthew Flinders, Robert Brown, Ferdinand Bauer and William Westall (Dec. 1801); Thomas Wilson (Dec. 1829); Roe and Stirling (Nov. 1835); and Charles Codrington Forsyth of HMS Pelorus (1838). Shipbuilding In November 1835, Roe and Stirling explored the Tor Bay area, scoping the area for shipbuilding. From the late 1830s to the 1860s an industry building vessels of up to 150 tons was established at Port Harding (Migo Island), using timber from the Guarinup Hills, half a mile behind the beach. Whaling A shore whaling station was established on the beach at Tor Bay behind Migo Island in 1844. Whales were taken during the periods 1844-1846 and 1861-1864. Forestry In 1886 railway contractors C & E Millar established sawmills at Bornholm to supply timber for the construction of the Great Southern Railway (Beverley to Albany railway). Timber was initially shipped out by lighter, schooner and the small steamer Active from Port Harding (Migo Island) to Albany, and later by tramline to Elleker. In 1889 the Torbay Estate, of 22,000 acres, was granted to Millars in consideration of extending the railway from Elleker to Torbay and establishing working sawmills there. The two Bornholm mills were shifted to Torbay and enlarged. A prosperous timber settlement was in evidence at Torbay for about six years. The estate concession extended from Wilgie Hill, at the Albany end of Torbay, to Youngs, the timber being hauled by tramline from 20 miles beyond Torbay as far as Hay River, before the mills were finally moved. By 1895 most of the suitable timber at Torbay had been felled. The railway was again extended to Denmark in 1896. In 1898 Millars Karri and Jarrah Forests Limited offered the Torbay Estate back to the government provided they could retain ownership of the strip of land occupied by the Elleker-Torbay railway, which under their contract was to revert to the government after 14 years. The land was subdivided and sold for agricultural purposes in 1900. WAGR rail service Millars' Elleker-Torbay-Denmark railway line closed on 31 May 1905. During negotiations over the sale of the railway line the State leased the line and WAGR rail services began on 3 May 1907. In 1908 Millars sold the railway to the state government. Line extension works beyond Denmark were started in 1926
</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.