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>
as the company Bourgey-Montreuil, and other non-rail freight businesses of SNCF-Sceta, were combined into Compagnie Générale Calberson which was renamed as Geodis. The Geodis group was subsequently privatised in 1996. In 1997 Tailleur Industrie was acquired, in 2000 the express delivery service Extand was sold to the UK Post Office, and had acquired the cargo operations of the Italian firm Züst Ambrosetti by the end of the year. A partnership with the German air and sea freight firm Rohde & Liesenfeld begins in 2002 leading to its acquisition and incorporation into the subsidiary Geodis Wilson in 2008. Additionally the group begins to handle forwarding for FedEx in France in 2006 and takes over the freight management activities of TNT (formerly known as Wilson Logistics prior to TNT acquisition in the same year. The company became Geodis Wilson in 2007. In April 2008 SNCF made an offer for 57% of the shares in Geodis, (having originally had a 43% stake) at 462 million euros, thus taking control of the company and effectively re-nationalising an organisation that had been privatised twelve years earlier. The bid was authorised by the French stock market regulator AMF (Autorité des marchés financiers) in May. SNCF Geodis Following the acquisition of Geodis SNCF Geodis became the name of the corporate division of SNCF for all freight and logistics, both internal and international, including non-rail activities. In March 2009 the Geodis take-over of IBM's Global Logistics company first announced in December 2008 was finalised., additionally as part of the purchase deal of the logistics business Geodis became the sole logistics supplier for IBM with a multi-year contract. In September 2009 Veolia Cargo was acquired by SNCF and Eurotunnel, the business units acquired by SNCF were subsequently rebranded along with other international rail freight companies in the SNCF group in February 2010 as Captrain. In January 2010 the total acquisition of Ermewa (a major European wagon hire business) by SNCF Geodis via the SNCF subsidiary company Transport et Logistique Partenaires SA was cleared by the European Commission. In December 2010, SNCF Geodis completed its purchase of ITL Eisenbahngesellschaft. Divisional structure As of 2010 SNCF Geodis is one of five subdivisions of SNCF. The division is organised into four spheres - Geodis (integrated logistics), STVA (car transportation logistics), Rail transport, and Asset management (rolling stock leasing): Geodis Geodis Wilson (formed from merger of Geodis Overseas merged with TNT Freight Management, Wilson Logistics and Rohde & Liesenfeld.) - road, air and sea freight logistics Geodis Calberson (formerly Calberson) - messaging and express services - France and Europe Geodis Logistics (formerly IBM logistics plus other acquisitions) - logistics management Geodis BM (Formerly Bourgey-Montreuil) European road transport STVA (Société de Transports de Véhicules Automobiles )- transportation of vehicles (car etc.) via road, rail and sea. Rail transport: Fret SNCF - French rail freight transport operations as public company VFLI - French rail freight transport operations as private company Captrain - European railfreight transport operations outside France: Captrain Benelux (formerly Fret SNCF Benelux, Veolia Cargo Belgium, Veolia Cargo Nederland and ITL Benelux) Captrain Deutschland (formerly Fret SNCF Deutschland and Veolia Cargo Deutschland including the former Rail4Chem) Captrain Italia (formerly Fret SNCF Italia and Veolia Cargo Italia) Captrain UK (formerly Freight Europe UK) Captrain Romania (formerly VFLI Romania) Asset management - locomotive and wagon leasing and related services: Akiem (locomotives) Ermewa (wagons) with France Wagons (wagons), merged into Ermewa group May 2010. Transengrais (rail transport of fertilizer - vehicle lease or rental) References External links Geodis (Acquired by SNCF 2008) Detailed background and financial information about Geodis on www.supplychainleaders Geodis Wilson Official Website Category:SNCF companies
</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.