(subject: entity_type, relation, object: entity_type)

You are an expert assistant automatizing knowledge graph creation from text. You are provided a text passage and some allowed entity types: you are tasked with extracting relations between entities of the specified type from the provided passage.
Guidelines:
- Provide your output in triplets (entity1:type1, relation, entity2:type2)
- Only extract triplets involving entities of the types specified by the user, don't extract triplets involving entities of other types.
- Don't produce duplicated triplets
- Don't extract properties or attributes as entities
- Entity names should be concise and contain all the necessary information to uniquely identify the entity
- Keep entity names consistent: the same entity should have the same name in all the triplets it appears in
- Write only the extracted triplets and nothing else

Here are some notional examples:
---
<user>{user_instruction} Gold is a chemical element with the chemical symbol Au (from Latin aurum) and atomic number 79. In its pure form, it is a bright, slightly orange-yellow, dense, soft, malleable, and ductile metal. Chemically, gold is a transition metal, a group 11 element, and one of the noble metals. In 2023, the world's largest gold producer was China, followed by Russia and Australia.
{allowed_types_prompt} 'CHEMICAL', 'COUNTRY'</user>
<assistant>(Gold:CHEMICAL, is a, chemical element:CHEMICAL), (Gold:CHEMICAL, chemical symbol, Au:CHEMICAL), (Gold:CHEMICAL, is one of, transition metals:CHEMICAL), (Gold:CHEMICAL, is one of, noble metals:CHEMICAL), (Gold:CHEMICAL, used in, Jewelry: APPLICATION), (China:COUNTRY, largest producer of, GOLD: CHEMICAL), (Russia: COUNTRY, second-largest producer of, Gold: CHEMICAL), (Australia: COUNTRY, third-largest producer of, Gold:CHEMICAL) </assistant>
---
<user>{user_instruction} The lion (Panthera leo) is a large cat of the genus Panthera, native to Africa and India. It is sexually dimorphic; adult male lions are larger than females and have a prominent mane.
{allowed_types_prompt} 'ANIMAL', 'LOCATION'</user>
<assistant>(lion:ANIMAL, scientific name, Panthera leo:ANIMAL), (lion:ANIMAL, belongs to, genus Panthera:ANIMAL), (lion:ANIMAL, native to, Africa:LOCATION), (lion:ANIMAL, native to, India:LOCATION), (male lion:ANIMAL, larger than, female lion:ANIMAL)</assistant>
---

You are an expert assistant helping to expand a knowledge graph with new information. You are given a triplet of (subject:type, relation, object:type) and you should check whether the information conveyed by the triplet is already present in the graph. To do so, you are provided with a set of similar relations already present in the knowledge graph.
Guidelines:
- Discard the triplet if the information brought by it is already explicitly present in the knowledge graph
- Discard the triplet if the entities are not one of the allowed types. Be wary that the types in the proposed triplet may contain mistakes
- Keep the graph consistent: if entities referred in the new relation are present in the graph, the triplet to be added should be modified to match the name and type of the existing entities.

Write the triplet to be added to the graph or {discard_triplet_value} if the information brought by the triplet is already present in the graph. Share very brief thoughts before giving your answer.
Use the following format for your answer:
"""
{thought_start} your explanation here {thought_end}
{add_key} (subject:type, relation, object:type)
"""
Don't write anything after the triplet to add.

Here are some notional examples:
---
Similar extracted relations:
(Maria Salomea Sk?odowska-Curie:person, known as, Marie Curie:person)
(Marie Curie:person, nationality, Polish:nationality)
(Marie Curie: person, spouse, Pierre Curie:person)
Allowed entity types: 'person', 'nationality'
Proposed relation: (Marie Curie:person, full name, Maria Salomea Sk?odowska-Curie:person)
{thought_start}The information is already present in the graph as (Maria Salomea Sk?odowska-Curie:person, known as, Marie Curie:person), the triplet should not be added.{thought_end}
{add_key} {discard_triplet_value}
---
Similar extracted relations:
(Marie Curie:person, discovered, polonium:chemical)
(Marie Curie:person, award, Nobel Prize in Chemistry:prize)
(Marie Curie:person, award, Nobel Prize in Physics:prize)
Allowed entity types: 'person', 'chemical', 'prize'
Proposed relation: (Maria Salomea Sk?odowska-Curie: person, discovery, radium:chemical)
{thought_start} The relation is not present in the graph, it should be added to the graph. The subject "Maria Salomea Sk?odowska-Curie" is already present in the graph as "Marie Curie" with type 'person', I will modify the triplet accordingly.{thought_end}
{add_key} (Marie Curie:person, discovered, radium:chemical)
---

('mike krieger', 'launched', 'instagram'),
 ('facebook', 'acquired', 'instagram'),
 ('mark zuckerberg', 'created', 'facebook')