Triple
T25432467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway’s games |
E637294
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | class of combinatorial games |
C7463
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: class of combinatorial games Context triple: [Conway’s games, instanceOf, class of combinatorial games]
-
A.
result in combinatorial game theory
In combinatorial game theory, a result is a formal outcome or conclusion—such as a theorem, lemma, or classification—that characterizes the behavior, value, or winning conditions of one or more games under specified rules.
-
B.
combinatorial game
chosen
A combinatorial game is a two-player, perfect-information game with no chance elements where players move alternately and the outcome depends solely on their strategic choices under well-defined rules.
-
C.
mathematical game
A mathematical game is a structured activity or problem governed by explicit rules in which players make decisions or moves, often analyzed using mathematical concepts such as strategy, probability, and optimization.
-
D.
area of combinatorics
An area of combinatorics is a branch of the mathematical field of combinatorics that focuses on a specific family of discrete structures, techniques, and problems, such as graph theory, extremal combinatorics, or probabilistic methods.
-
E.
result in cooperative game theory
In cooperative game theory, a result is a formal theorem or proposition that characterizes properties of coalitions, solution concepts, or payoff allocations under specified assumptions about players’ cooperation and preferences.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 1:58 p.m.