Triple
T478475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itô calculus |
E9112
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
statistical physics
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
|
E59635
|
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: statistical physics | Statement: [Itô calculus, usedIn, statistical physics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: statistical physics Context triple: [Itô calculus, usedIn, statistical physics]
-
A.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
B.
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.
-
C.
soft matter physics
Soft matter physics is the branch of physics that studies materials such as polymers, colloids, gels, liquid crystals, and biological matter, focusing on their complex structural, dynamical, and rheological properties.
-
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.
Maxwell–Boltzmann statistics
Maxwell–Boltzmann statistics is a classical statistical framework in physics that describes the distribution of speeds or energies among distinguishable, non-quantum particles in thermal equilibrium.
- 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: statistical physics Triple: [Itô calculus, usedIn, statistical physics]
Generated description
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: statistical physics Target entity description: Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
-
A.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
B.
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.
-
C.
soft matter physics
Soft matter physics is the branch of physics that studies materials such as polymers, colloids, gels, liquid crystals, and biological matter, focusing on their complex structural, dynamical, and rheological properties.
-
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.
Maxwell–Boltzmann statistics
Maxwell–Boltzmann statistics is a classical statistical framework in physics that describes the distribution of speeds or energies among distinguishable, non-quantum particles in thermal equilibrium.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46804b90881908422851eeb9bbba1 |
completed | March 1, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_69a46901d5c08190af7ea8b01206505c |
completed | March 1, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4696c35c08190890e8159983e2efb |
completed | March 1, 2026, 4:29 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.