Elmo shogi engine
E214836
Elmo shogi engine is a highly advanced computer program for playing shogi that was strong enough to serve as a benchmark opponent for DeepMind’s AlphaZero.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Elmo shogi engine canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1923054 — 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: Elmo shogi engine Context triple: [AlphaZero, defeated, Elmo shogi engine]
-
A.
Tromp
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
B.
River Chess
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
Zobrist
Zobrist is a surname most notably associated with Ben Zobrist, a former Major League Baseball player and World Series MVP.
-
E.
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.
- 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: Elmo shogi engine Target entity description: Elmo shogi engine is a highly advanced computer program for playing shogi that was strong enough to serve as a benchmark opponent for DeepMind’s AlphaZero.
-
A.
Tromp
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
B.
River Chess
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
Zobrist
Zobrist is a surname most notably associated with Ben Zobrist, a former Major League Baseball player and World Series MVP.
-
E.
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.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
computer program
ⓘ
game-playing artificial intelligence system ⓘ shogi engine ⓘ |
| AIParadigm | search-based game AI ⓘ |
| basedOn | alpha–beta search ⓘ |
| comparedWith |
AlphaZero
ⓘ
surface form:
AlphaZero (shogi) in DeepMind experiments
|
| competition | computer shogi tournaments ⓘ |
| countryOfOrigin | Japan ⓘ |
| developer | Makoto Takizawa NERFINISHED ⓘ |
| domain | board games ⓘ |
| evaluation |
king safety
ⓘ
material balance ⓘ mobility ⓘ pawn structure ⓘ piece-square tables ⓘ |
| field |
computer game-playing AI
ⓘ
computer shogi research ⓘ |
| game | shogi ⓘ |
| genre | computer shogi ⓘ |
| hasPart |
book learning module
ⓘ
evaluation module ⓘ search module ⓘ time management module ⓘ |
| influenced | AlphaZero shogi evaluation of strength ⓘ |
| inspired | subsequent shogi engine development and tuning methods ⓘ |
| notableAchievement | recognized as one of the strongest shogi engines of its time ⓘ |
| notableFor |
being used as a benchmark opponent for DeepMind AlphaZero in shogi
ⓘ
high playing strength in computer shogi ⓘ |
| operatingSystem |
Linux
ⓘ
Windows ⓘ
surface form:
Microsoft Windows
|
| programmingLanguage | C++ ⓘ |
| roleInAlphaZeroPaper | baseline opponent in shogi experiments ⓘ |
| searchTechnique |
aspiration windows
ⓘ
iterative deepening ⓘ late move reductions ⓘ move ordering heuristics ⓘ null-move pruning ⓘ quiescence search ⓘ transposition tables ⓘ |
| supportsRuleSet | standard Japanese shogi rules ⓘ |
| usedBy |
AlphaZero
ⓘ
surface form:
DeepMind AlphaZero
|
| uses |
bitboard representation
ⓘ
endgame tablebases ⓘ hand-crafted evaluation function ⓘ opening book ⓘ |
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: Elmo shogi engine Description of subject: Elmo shogi engine is a highly advanced computer program for playing shogi that was strong enough to serve as a benchmark opponent for DeepMind’s AlphaZero.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.