Triple

T5390039
Position Surface form Disambiguated ID Type / Status
Subject Josiah Willard Gibbs E120298 entity
Predicate knownFor P22 FINISHED
Object Gibbs paradox
The Gibbs paradox is a concept in thermodynamics and statistical mechanics highlighting an apparent contradiction in the entropy change when mixing identical versus distinct gases, which helped clarify the role of particle indistinguishability.
E517576 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: Gibbs paradox | Statement: [Josiah Willard Gibbs, knownFor, Gibbs paradox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibbs paradox
Context triple: [Josiah Willard Gibbs, knownFor, Gibbs paradox]
  • A. Sackur–Tetrode equation
    The Sackur–Tetrode equation is a fundamental formula in statistical mechanics that gives the absolute entropy of an ideal monatomic gas in terms of its volume, temperature, and particle number.
  • B. Carathéodory’s formulation of the second law of thermodynamics
    Carathéodory’s formulation of the second law of thermodynamics is a mathematically rigorous restatement of the second law based on the inaccessibility of certain thermodynamic states, providing a foundation for the concept of entropy without relying on cyclic processes or heat engines.
  • C. H-theorem
    The H-theorem is Boltzmann’s foundational result in statistical mechanics that explains the irreversible increase of entropy in a gas from time-reversible microscopic dynamics, providing a key link between mechanics and the second law of thermodynamics.
  • D. 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.
  • E. Clausius theorem
    The Clausius theorem is a fundamental result in thermodynamics that formalizes the second law by relating the cyclic integral of heat transfer over temperature to entropy, showing that this quantity is always less than or equal to zero for any cyclic process.
  • 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: Gibbs paradox
Triple: [Josiah Willard Gibbs, knownFor, Gibbs paradox]
Generated description
The Gibbs paradox is a concept in thermodynamics and statistical mechanics highlighting an apparent contradiction in the entropy change when mixing identical versus distinct gases, which helped clarify the role of particle indistinguishability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gibbs paradox
Target entity description: The Gibbs paradox is a concept in thermodynamics and statistical mechanics highlighting an apparent contradiction in the entropy change when mixing identical versus distinct gases, which helped clarify the role of particle indistinguishability.
  • A. Sackur–Tetrode equation
    The Sackur–Tetrode equation is a fundamental formula in statistical mechanics that gives the absolute entropy of an ideal monatomic gas in terms of its volume, temperature, and particle number.
  • B. Carathéodory’s formulation of the second law of thermodynamics
    Carathéodory’s formulation of the second law of thermodynamics is a mathematically rigorous restatement of the second law based on the inaccessibility of certain thermodynamic states, providing a foundation for the concept of entropy without relying on cyclic processes or heat engines.
  • C. H-theorem
    The H-theorem is Boltzmann’s foundational result in statistical mechanics that explains the irreversible increase of entropy in a gas from time-reversible microscopic dynamics, providing a key link between mechanics and the second law of thermodynamics.
  • D. 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.
  • E. Clausius theorem
    The Clausius theorem is a fundamental result in thermodynamics that formalizes the second law by relating the cyclic integral of heat transfer over temperature to entropy, showing that this quantity is always less than or equal to zero for any cyclic process.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd8716ae9c8190a729222a8b9eb460 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336126ec8190ad6d59469eac07c5 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf340a51848190b4722f456f997833 completed March 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf34714e808190b06b47891ea31bbf completed March 22, 2026, 12:14 a.m.
Created at: March 20, 2026, 2:04 p.m.