Llama
E472883
Llama is an open-source large language model family developed by Meta for a wide range of natural language understanding and generation tasks.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4833381 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llama Context triple: [Meta AI assistant, usesModelFamily, Llama]
-
A.
Vicugna pacos
Vicugna pacos, commonly known as the alpaca, is a domesticated South American camelid prized for its soft, luxurious fiber and often kept in herds in the Andes.
-
B.
Pongo
Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
-
C.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
D.
Chimbo
Chimbo is a small town in central Ecuador known for its colonial heritage and location within Bolívar Province in the Andean highlands.
-
E.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llama Target entity description: Llama is an open-source large language model family developed by Meta for a wide range of natural language understanding and generation tasks.
-
A.
Vicugna pacos
Vicugna pacos, commonly known as the alpaca, is a domesticated South American camelid prized for its soft, luxurious fiber and often kept in herds in the Andes.
-
B.
Pongo
Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
-
C.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
D.
Chimbo
Chimbo is a small town in central Ecuador known for its colonial heritage and location within Bolívar Province in the Andean highlands.
-
E.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
foundation model
ⓘ
large language model family ⓘ |
| capability |
code generation
ⓘ
natural language generation ⓘ natural language understanding ⓘ question answering ⓘ summarization ⓘ text generation ⓘ translation ⓘ |
| developer |
Meta
ⓘ
Meta AI ⓘ |
| distributionForm |
inference APIs
ⓘ
model weights ⓘ |
| field |
artificial intelligence
ⓘ
natural language processing ⓘ |
| hasSubModel |
Llama 2 13B
ⓘ
linked to:
LLaMA
Llama 2 70B ⓘ
linked to:
LLaMA
Llama 2 7B ⓘ
linked to:
LLaMA
Llama 3 70B ⓘ
linked to:
LLaMA
Llama 3 8B ⓘ
linked to:
LLaMA
Llama 3.1 405B ⓘ
linked to:
LLaMA
Llama 3.1 70B ⓘ
linked to:
LLaMA
Llama 3.1 8B ⓘ
linked to:
LLaMA
Llama 3.2 11B ⓘ
linked to:
LLaMA
Llama 3.2 1B ⓘ
linked to:
LLaMA
Llama 3.2 3B ⓘ
linked to:
LLaMA
Llama 3.2 90B ⓘ
linked to:
LLaMA
|
| hasVersion |
Llama 1
ⓘ
linked to:
LLaMA
Llama 2 ⓘ
linked to:
LLaMA
Llama 3 ⓘ
linked to:
LLaMA
Llama 3.1 ⓘ
linked to:
LLaMA
Llama 3.2 ⓘ
linked to:
LLaMA
|
| intendedUse |
commercial applications
ⓘ
research ⓘ |
| licenseModel | open-source license ⓘ |
| notableFor | open availability of high-parameter LLMs ⓘ |
| optimization |
instruction tuning
ⓘ
reinforcement learning from human feedback ⓘ |
| organization | Meta Platforms, Inc. ⓘ |
| softwareType | open-source software ⓘ |
| supportsTask |
chatbot applications
ⓘ
content creation ⓘ research assistance ⓘ software development assistance ⓘ virtual assistants ⓘ |
| trainingDataType |
articles
ⓘ
books ⓘ code ⓘ web text ⓘ |
| trainingMethod |
self-supervised learning
ⓘ
transformer architecture ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Llama Description of subject: Llama is an open-source large language model family developed by Meta for a wide range of natural language understanding and generation tasks.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Llama