Triple

T36704106
Position Surface form Disambiguated ID Type / Status
Subject Fortuin–Kasteleyn random cluster model E906308 entity
Predicate instanceOf P0 FINISHED
Object percolation-type model C29217 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: percolation-type model
Context triple: [Fortuin–Kasteleyn random cluster model, instanceOf, percolation-type model]
  • A. generalization of the Ising model
    A generalization of the Ising model is a statistical physics framework that extends the original spin-½ lattice system to more complex spins, interactions, geometries, or degrees of freedom to describe a wider range of phase transitions and critical phenomena.
  • B. spin model chosen
    A spin model is a mathematical representation of interacting discrete magnetic moments (spins) on a lattice or graph, used to study phase transitions and collective behavior in statistical and condensed matter physics.
  • C. model in complex systems
    A model in complex systems is a simplified, often computational or mathematical representation of interacting components whose collective behavior exhibits emergent, nonlinear, and adaptive dynamics that cannot be easily inferred from the properties of individual parts.
  • D. statistical closure theory
    Statistical closure theory is a framework in which an infinite hierarchy of statistical moment equations for a complex system is approximated by expressing higher-order moments in terms of lower-order ones, yielding a tractable closed set of equations.
  • E. model of irreversibility
    A model of irreversibility is a conceptual framework that represents processes or systems whose evolution cannot be exactly reversed, typically due to entropy increase, information loss, or path-dependent dynamics.
  • 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_69f76e7195c48190b5580c9cfb01e95f completed May 3, 2026, 3:49 p.m.
Created at: May 3, 2026, 4:12 p.m.