Triple

T23464358
Position Surface form Disambiguated ID Type / Status
Subject replica symmetry breaking E569064 entity
Predicate relatedTo P37 FINISHED
Object Sherrington–Kirkpatrick model — NE NERFINISHED

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: Sherrington–Kirkpatrick model | Statement: [replica symmetry breaking, relatedTo, Sherrington–Kirkpatrick model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sherrington–Kirkpatrick model
Context triple: [replica symmetry breaking, relatedTo, Sherrington–Kirkpatrick model]
  • A. Sherrington–Kirkpatrick model chosen
    The Sherrington–Kirkpatrick model is a mean-field theoretical model of spin glasses that captures the complex energy landscape and disorder-driven phase behavior of randomly interacting magnetic spins.
  • B. Parisi solution of spin glasses
    The Parisi solution of spin glasses is a groundbreaking theoretical framework that exactly characterizes the complex energy landscape and phase structure of mean-field spin glass models through hierarchical replica symmetry breaking.
  • C. Ising models
    Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
  • D. Potts model
    The Potts model is a generalization of the Ising model in statistical mechanics that describes interacting spins with more than two possible states, used to study phase transitions and critical phenomena.
  • E. replica symmetry breaking
    Replica symmetry breaking is a theoretical framework in statistical physics and spin glass theory that describes how a system’s many equivalent microscopic states can split into a complex hierarchy of inequivalent states, revealing a rugged energy landscape and complex phase structure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6f9e59081909e8cf224ee46109c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.