<s> [INST] <<SYS>>
You are a helpful assistant specialized in extracting structured data.
<</SYS>>

Extract exactly Five knowledge graph triples from the text below. Return only the generated knowledge graph triples without any additional content.Format your answer as follows:

(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
Return only the extracted tripelsTEXT:
Sure, here is an original paragraph of 75 words that accuratley reflects the data provided in the Knowledge Graph Triplets:
 
Sush i, a dish born in Japan, has gained global popularity for its unique blend of flavors. Its foundation lies in vinegared rice, which is complemented by the savory depth of soy sauce. The freshness of Raw fish, such as salmon or  tuna, adds a burst of flavor, while wasabi provides an extra kick. Whether you're a sushi newbie or a seasoned connoisseur, this dish will leave you craving more. [/INST]  Sure, here are five knowledge graph trips extracted from the text:

1. (Sushi -> has -> global popularity)
2. (Savory -> depth -> soy sauces)
3. (Freshness -> adds -> flavor)
4. (Raw fish -> adds -> wasabi)
5. (Susi -> leaves -> craving)</s>
Sure, here are five knowledge graph trips extracted from the text:

1. (Sushi -> has -> global popularity)
2. (Savory -> depth -> soy sauces)
3. (Freshness -> adds -> flavor)
4. (Raw fish -> adds -> wasabi)
5. (Susi -> leaves -> craving)
<s> [INST] <<SYS>>
You are a helpful assistant specialized in extracting structured data.
<</SYS>>

Extract exactly Five knowledge graph triples from the text below. Return only the generated knowledge graph triples without any additional content.Format your answer as follows:

(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
(Entity -> Relation -> Object)
Return only the extracted tripelsTEXT:
Sure, here is an original paragraph of 75 words that accuratley reflects the data provided in the Knowledge Graph Triplets:
 
Sush i, a dish born in Japan, has gained global popularity for its unique blend of flavors. Its foundation lies in vinegared rice, which is complemented by the savory depth of soy sauce. The freshness of Raw fish, such as salmon or  tuna, adds a burst of flavor, while wasabi provides an extra kick. Whether you're a sushi newbie or a seasoned connoisseur, this dish will leave you craving more. [/INST]
Sure, here is an original paragraph of 75 words that accuratley reflects the data provided in the Knowledge Graph Triplets:
 
Sush i, a dish born in Japan, has gained global popularity for its unique blend of flavors. Its foundation lies in vinegared rice, which is complemented by the savory depth of soy sauce. The freshness of Raw fish, such as salmon or  tuna, adds a burst of flavor, while wasabi provides an extra kick. Whether you're a sushi newbie or a seasoned connoisseur, this dish will leave you craving more.
(Sushi -> originated_in -> Japan)
(Sushi -> main_ingredient -> Vinegared rice)
(Sushi -> served_with -> Soy sauce)
(Sushi -> often_contains -> Raw fish)
(Sushi -> commonly_accompanied_by -> Wasabi)
(Sushi -> originated_in -> Japan)
(Sushi -> main_ingredient -> Vinegared rice)
(Sushi -> served_with -> Soy sauce)
(Sushi -> often_contains -> Raw fish)
(Sushi -> commonly_accompanied_by -> Wasabi)
You are a helpful assistant skilled in generating knowledge graph triples from descriptive paragraphs .
system
From the input text, extract and generate a knowledge graph in the form of exactly 5 informative triples. Each triple should follow this format:
(Subject -> Predicate -> Object)
Return only the five triples.
 Text:
user
(Sushi -> originated_in -> Japan)
(Sushi -> main_ingredient -> Vinegared rice)
(Sushi -> served_with -> Soy sauce)
(Sushi -> often_contains -> Raw fish)
(Sushi -> commonly_accompanied_by -> Wasabi)
assistant