Triple
T2631421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwinger functions |
E59637
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
statistical field theory
Statistical field theory is a framework that applies quantum field-theoretic methods to study systems with many degrees of freedom, particularly in statistical mechanics and critical phenomena.
|
E9113
|
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 field theory | Statement: [Schwinger functions, usedIn, statistical field theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: statistical field theory Context triple: [Schwinger functions, usedIn, statistical field theory]
-
A.
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.
-
B.
quantum field theory
Quantum field theory is the theoretical framework in physics that combines quantum mechanics and special relativity to describe particles as excitations of underlying fields and governs their interactions.
-
C.
Yang–Lee theory
Yang–Lee theory is a framework in statistical mechanics and phase transition theory that studies the distribution of zeros of the partition function in the complex plane to understand critical phenomena.
-
D.
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.
-
E.
Euclidean quantum field theory
Euclidean quantum field theory is a formulation of quantum field theory in imaginary (Euclidean) time that enables rigorous mathematical treatment and path-integral representations closely connected to 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: statistical field theory Triple: [Schwinger functions, usedIn, statistical field theory]
Generated description
Statistical field theory is a framework that applies quantum field-theoretic methods to study systems with many degrees of freedom, particularly in statistical mechanics and critical phenomena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: statistical field theory Target entity description: Statistical field theory is a framework that applies quantum field-theoretic methods to study systems with many degrees of freedom, particularly in statistical mechanics and critical phenomena.
-
A.
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.
-
B.
quantum field theory
Quantum field theory is the theoretical framework in physics that combines quantum mechanics and special relativity to describe particles as excitations of underlying fields and governs their interactions.
-
C.
Yang–Lee theory
Yang–Lee theory is a framework in statistical mechanics and phase transition theory that studies the distribution of zeros of the partition function in the complex plane to understand critical phenomena.
-
D.
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.
-
E.
Euclidean quantum field theory
chosen
Euclidean quantum field theory is a formulation of quantum field theory in imaginary (Euclidean) time that enables rigorous mathematical treatment and path-integral representations closely connected to statistical mechanics.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c6e540819087c7f92432b27b0f |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a7021081909f81c4ddb48fa00c |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af9172ba248190bbc68a00b43d9b44 |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af92500920819082c651f75a06dd72 |
completed | March 10, 2026, 3:38 a.m. |
Created at: March 6, 2026, 9:50 p.m.