Triple
T22363206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundations of Algorithmic Game Theory |
E552831
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of game theory |
C46160
|
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: subfield of game theory Context triple: [Foundations of Algorithmic Game Theory, instanceOf, subfield of game theory]
-
A.
game theory literature
Game theory literature encompasses scholarly and applied works that develop, analyze, and apply mathematical models of strategic interaction among rational (or boundedly rational) decision-makers across economics, politics, biology, and related fields.
-
B.
game-theoretic scenario
A game-theoretic scenario is a structured situation in which multiple decision-makers (players) with potentially conflicting interests choose strategies whose outcomes and payoffs depend on the combined actions of all participants.
-
C.
cooperative game
A cooperative game is a strategic situation in which players can form binding agreements and coalitions to share payoffs and work together to achieve mutually beneficial outcomes.
-
D.
2×2 game
A 2×2 game is a strategic interaction between two players where each has two possible actions, producing four possible outcome combinations with associated payoffs.
-
E.
subfield of political science
A subfield of political science is a specialized area of study within the broader discipline that focuses on a particular aspect of politics, such as comparative politics, international relations, political theory, or public policy.
- F. None of above. chosen
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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:44 p.m.