Triple

T2443015
Position Surface form Disambiguated ID Type / Status
Subject Shockley–Queisser limit E53321 entity
Predicate isBasedOn P7125 FINISHED
Object detailed balance principle
The detailed balance principle is a thermodynamic concept stating that, at equilibrium, every microscopic process is exactly balanced by its reverse process, ensuring no net change in the system’s macroscopic state.
E267413 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: detailed balance principle | Statement: [Shockley–Queisser limit, isBasedOn, detailed balance principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: detailed balance principle
Context triple: [Shockley–Queisser limit, isBasedOn, detailed balance principle]
  • A. d’Alembert’s principle
    d’Alembert’s principle is a fundamental concept in classical mechanics that reformulates Newton’s laws to analyze the motion of systems by introducing inertial forces so they can be treated as if in static equilibrium.
  • B. Onsager reciprocal relations
    Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
  • C. The Principles of Statistical Mechanics
    The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
  • D. fluctuation–dissipation theorem
    The fluctuation–dissipation theorem is a fundamental principle in statistical physics that links the random microscopic fluctuations in a system at thermal equilibrium to its macroscopic response to external perturbations.
  • E. Boltzmann–Gibbs entropy in statistical mechanics
    Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
  • 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: detailed balance principle
Triple: [Shockley–Queisser limit, isBasedOn, detailed balance principle]
Generated description
The detailed balance principle is a thermodynamic concept stating that, at equilibrium, every microscopic process is exactly balanced by its reverse process, ensuring no net change in the system’s macroscopic state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: detailed balance principle
Target entity description: The detailed balance principle is a thermodynamic concept stating that, at equilibrium, every microscopic process is exactly balanced by its reverse process, ensuring no net change in the system’s macroscopic state.
  • A. d’Alembert’s principle
    d’Alembert’s principle is a fundamental concept in classical mechanics that reformulates Newton’s laws to analyze the motion of systems by introducing inertial forces so they can be treated as if in static equilibrium.
  • B. Onsager reciprocal relations
    Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
  • C. The Principles of Statistical Mechanics
    The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
  • D. fluctuation–dissipation theorem
    The fluctuation–dissipation theorem is a fundamental principle in statistical physics that links the random microscopic fluctuations in a system at thermal equilibrium to its macroscopic response to external perturbations.
  • E. Boltzmann–Gibbs entropy in statistical mechanics
    Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
  • F. None of above. chosen

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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca20d2088190846162b85472d739 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b768f8819084fb74a3a2643cb8 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef5de0e4c8190af460b7e2fb2a5eb completed March 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69aef68a6a18819097876fea0120103b completed March 9, 2026, 4:34 p.m.
Created at: March 6, 2026, 9:43 p.m.