Triple

T18865112
Position Surface form Disambiguated ID Type / Status
Subject Bogoliubov inequality E461417 entity
Predicate relatedTo P37 FINISHED
Object Bogoliubov variational principle
The Bogoliubov variational principle is a method in statistical mechanics that provides an approximate evaluation of a system’s free energy by optimizing over a trial Hamiltonian, yielding rigorous bounds and insight into phase transitions.
E461417 NE FINISHED

How this triple was built (4 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: Bogoliubov variational principle | Statement: [Bogoliubov inequality, relatedTo, Bogoliubov variational principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogoliubov variational principle
Context triple: [Bogoliubov inequality, relatedTo, Bogoliubov variational principle]
  • A. Bogoliubov inequality
    The Bogoliubov inequality is a fundamental result in statistical mechanics and quantum field theory that provides bounds on correlation functions and plays a key role in the rigorous analysis of phase transitions.
  • B. Bogoliubov–Parasyuk theorem
    The Bogoliubov–Parasyuk theorem is a fundamental result in quantum field theory that rigorously establishes a systematic procedure for renormalizing divergent Feynman diagrams.
  • C. Onsager–Machlup function
    The Onsager–Machlup function is a functional in stochastic process theory that characterizes the most probable paths of fluctuating systems, playing a key role in nonequilibrium statistical mechanics and large deviation theory.
  • D. Lieb concavity theorem
    The Lieb concavity theorem is a fundamental result in mathematical physics and matrix analysis that establishes the joint concavity of certain trace functions, with important applications in quantum information theory and operator inequalities.
  • E. Bogoliubov transformation
    The Bogoliubov transformation is a mathematical change of basis used in quantum field theory and many-body physics to diagonalize Hamiltonians by mixing creation and annihilation operators, enabling the description of quasiparticles and phenomena like superconductivity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bogoliubov variational principle
Triple: [Bogoliubov inequality, relatedTo, Bogoliubov variational principle]
Generated description
The Bogoliubov variational principle is a method in statistical mechanics that provides an approximate evaluation of a system’s free energy by optimizing over a trial Hamiltonian, yielding rigorous bounds and insight into phase transitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bogoliubov variational principle
Target entity description: The Bogoliubov variational principle is a method in statistical mechanics that provides an approximate evaluation of a system’s free energy by optimizing over a trial Hamiltonian, yielding rigorous bounds and insight into phase transitions.
  • A. Bogoliubov inequality chosen
    The Bogoliubov inequality is a fundamental result in statistical mechanics and quantum field theory that provides bounds on correlation functions and plays a key role in the rigorous analysis of phase transitions.
  • B. Bogoliubov–Parasyuk theorem
    The Bogoliubov–Parasyuk theorem is a fundamental result in quantum field theory that rigorously establishes a systematic procedure for renormalizing divergent Feynman diagrams.
  • C. Onsager–Machlup function
    The Onsager–Machlup function is a functional in stochastic process theory that characterizes the most probable paths of fluctuating systems, playing a key role in nonequilibrium statistical mechanics and large deviation theory.
  • D. Lieb concavity theorem
    The Lieb concavity theorem is a fundamental result in mathematical physics and matrix analysis that establishes the joint concavity of certain trace functions, with important applications in quantum information theory and operator inequalities.
  • E. Bogoliubov transformation
    The Bogoliubov transformation is a mathematical change of basis used in quantum field theory and many-body physics to diagonalize Hamiltonians by mixing creation and annihilation operators, enabling the description of quasiparticles and phenomena like superconductivity.
  • F. None of above.

Provenance (5 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a5074481908941fcbb3b3eefa2 completed April 20, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b902ec8190bcda2ab33b87bea4 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a057927ddd881908809c9c27e1ae5a2 completed May 14, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0579982b4c8190a7cff4d2946bc15d completed May 14, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:57 a.m.