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>
SNCF Logistics SNCF Logistics (formerly known as SNCF Geodis) is the division of the SNCF group responsible for freight transportation and logistics. The CEO of SNCF Logistics is Alain Picard (June 2015) The division includes the activities of: Geodis (and subsidiaries), general land transport and logistics; Fret SNCF the national rail freight operator as well as VFLI (short haul freight), Captrain, (international rail freight), combining the former Fret SNCF International and operations acquired from Veolia Cargo; rail vehicle leasing operations such as Ermewa, France Wagons, Akiem and Transengrais; and the automobile transportation company STVA. SNCF Geodis is a state-owned enterprise, classified as an Établissement public à caractère industriel et commercial (EPIC). SNCF's subsidiaries and participations which are led by SNCF Geodis, are grouped in the holding company Transport et Logistique Partenaires, which is a subsidiary of SNCF Participations. History 1904 – Creation of Transports Rapides Calberson in Le Havre, renamed Société des Transports Routiers Calberson in 1920. In 1961, SCETA took over Société des Transports Routiers Calberson. In 1995, the GEODIS group was created with the merger of Compagnie Générale Calberson, Bourgey Montreuil, SCETA Transport and SCETA International. In 1996, the group was privatized by the decree of August 20, 1996 and restructured into four Lines of Business: Groupage, Overseas, Logistics and Road. In 2002, GEODIS formed a partnership with the German company Rohde & Liesenfeld to strengthen its international sales and transport network. The company confirmed a return to profit. In 2003, GEODIS expanded its Asian network with new business locations in its own name in Indonesia and Korea. In 2004, GEODIS Calberson celebrated its centennial. The group confirmed its return to profitable growth. In 2005, GEODIS was floated on Compartment B of the Eurolist market of Euronext in Paris. The Group launches its European groupage service, Eurofirst. In 2006, the group acquired TNT’s Freight Forwarding division, ranking it among the leading freight management operators in Europe. In 2007, GEODIS launched a share capital increase that proves an outstanding success. The Group acquired Rohde & Liesenfeld and introduces a new organization structure based on four Lines of Business: Groupage, Freight Forwarding, Contract Logistics and Road. In 2008, GEODIS joined SNCF’s new Transport and Logistics division following a takeover by its major shareholder. That same year, on the basis of a long-term contract GEODIS acquires IBM Global Logistics, IBM’s global logistics flow management platform, giving rise to the Group’s fifth business: GEODIS Supply Chain Optimization. 2009 GEODIS continues its program of external growth with the acquisition of two of the four divisions of Giraud International: the Iron and Steel business and the Central and Eastern European Area business. 2012 Marie-Christine Lombard joined as chief executive officer. 2015 GEODIS acquired OHL (Ozburn-Hessey Logistics) and enhanced its freight forwarding and contract logistics offerings in the US. Background Calberson The origins of the logistics company Calberson date back to 1904 when Emile Calberson founded a courier business in Le Havre transferring to and on the rail network, by 1910 his company had expanded to serve the entire Paris-Rouen-Le Havre railway line. In 1925 the company incorporates, becoming the Société des Transports Rapides Calberson. In 1932 France Domicile Transport (FTD) acquires a majority share in the company, and it becomes Société Nouvelle des Transports Rapides Calberson (SNTR). In 1955 it is acquired by the SNCF road transport subsidiary Sceta. With state backing the company expanded, acquiring Schenker France in 1966, and beginning overseas operations. In 1984 the company, as Compagnie Générale Calberson (CGC) had its shares publicly offered on the Paris stock exchange. Geodis In 1995 Calberson, along with its overseas operations, as well
</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.