Leela Chess Zero
E771672
Leela Chess Zero is an open-source, neural-network-based chess engine inspired by AlphaZero that has become one of the strongest and most influential engines in computer chess.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Leela Chess Zero canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8993032 — 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: Leela Chess Zero Context triple: [Stockfish, notableCompetition, Leela Chess Zero]
-
A.
AlphaZero
AlphaZero is a DeepMind-developed artificial intelligence system that mastered complex games like chess, shogi, and Go through self-play reinforcement learning without human-crafted strategies.
-
B.
MuZero
MuZero is a DeepMind reinforcement learning algorithm that learns to plan and master complex games like Go, chess, and Atari without being given the rules in advance.
-
C.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
D.
Stockfish
Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
-
E.
AlphaGo Zero
AlphaGo Zero is DeepMind's advanced artificial intelligence program that learned to play the board game Go at superhuman level entirely through self-play without human data.
- 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: Leela Chess Zero Target entity description: Leela Chess Zero is an open-source, neural-network-based chess engine inspired by AlphaZero that has become one of the strongest and most influential engines in computer chess.
-
A.
AlphaZero
AlphaZero is a DeepMind-developed artificial intelligence system that mastered complex games like chess, shogi, and Go through self-play reinforcement learning without human-crafted strategies.
-
B.
MuZero
MuZero is a DeepMind reinforcement learning algorithm that learns to plan and master complex games like Go, chess, and Atari without being given the rules in advance.
-
C.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
D.
Stockfish
Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
-
E.
AlphaGo Zero
AlphaGo Zero is DeepMind's advanced artificial intelligence program that learned to play the board game Go at superhuman level entirely through self-play without human data.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
chess engine
ⓘ
computer chess engine ⓘ neural network chess engine ⓘ open-source software ⓘ |
| competesIn |
Computer chess tournaments
ⓘ
Top Chess Engine Championship NERFINISHED ⓘ |
| hasAbbreviation | Lc0 NERFINISHED ⓘ |
| hasAbbreviationMeaning | Lc0 stands for Leela Chess Zero NERFINISHED ⓘ |
| hasCommunity | Lc0 user and contributor community ⓘ |
| hasComponent |
client for distributed games
ⓘ
neural network weights ⓘ server for training ⓘ |
| hasDesignGoal | AlphaZero-like chess engine available to the public ⓘ |
| hasDocumentation | https://lczero.org/play/ ⓘ |
| hasForum | https://discord.gg/lczero ⓘ |
| hasNameOrigin | named after Futurama character Leela ⓘ |
| hasNotableFeature |
end-to-end neural network evaluation without handcrafted chess knowledge
ⓘ
policy and value network ⓘ support for multiple backends (CUDA, OpenCL, BLAS) ⓘ |
| hasSourceRepository | https://github.com/LeelaChessZero/lc0 ⓘ |
| hasStrength | top-tier engine strength comparable to strongest classical engines ⓘ |
| hasTrainingDataSource | self-play games generated by engine ⓘ |
| hasWebsite | https://lczero.org ⓘ |
| influenced | development of neural-network-based chess engines ⓘ |
| inspiredBy | AlphaZero NERFINISHED ⓘ |
| isMaintainedBy | community of volunteers ⓘ |
| isOpenSource | true ⓘ |
| isTrainedBy | distributed volunteer computing ⓘ |
| isWrittenFor | computer chess competitions ⓘ |
| license | GPL-3.0-or-later ⓘ |
| programmingLanguage |
C++
ⓘ
CUDA NERFINISHED ⓘ OpenCL NERFINISHED ⓘ |
| supportsHardware |
CPU
ⓘ
GPU ⓘ |
| supportsPlatform |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| supportsProtocol |
UCI
ⓘ
WinBoard NERFINISHED ⓘ |
| supportsTimeControl |
blitz chess
GENERATED
ⓘ
bullet chess GENERATED ⓘ classical chess GENERATED ⓘ rapid chess GENERATED ⓘ |
| trainingMethod | self-play reinforcement learning ⓘ |
| usesArchitecture | residual neural network ⓘ |
| usesEvaluation | deep neural network ⓘ |
| usesInputRepresentation | bitboard-like planes for neural network ⓘ |
| usesSearchAlgorithm | Monte Carlo tree search NERFINISHED ⓘ |
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: Leela Chess Zero Description of subject: Leela Chess Zero is an open-source, neural-network-based chess engine inspired by AlphaZero that has become one of the strongest and most influential engines in computer chess.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.