Triple

T27885546
Position Surface form Disambiguated ID Type / Status
Subject Checkers E705212 entity
Predicate isZeroSumGame P158502 FINISHED
Object true LITERAL FINISHED

How this triple was built (2 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Checkers, isZeroSumGame, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isZeroSumGame
Context triple: [Checkers, isZeroSumGame, true]
  • A. isZeroSum chosen
    Indicates that the interaction, game, or transaction is structured so that any gain by one participant is exactly balanced by an equivalent loss by others, making the net total change zero.
  • B. isSymmetricGame
    Indicates that the game’s structure and payoffs are identical for all players, so outcomes depend only on the strategies chosen, not on who plays them.
  • C. hasNashEquilibrium
    Indicates that a strategic interaction or game possesses at least one Nash equilibrium, where no participant can benefit by unilaterally changing their strategy.
  • D. isPerfectInformationGame
    Indicates that the game is one of perfect information, where all players have complete knowledge of all past actions and relevant game states at every decision point.
  • E. isZeroFor
    Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
  • F. None of above.

Provenance (3 batches)

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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63b317e048190963989b732b25b91 completed May 2, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 6:32 p.m.