Triple
T7145247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloch equations |
E166545
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Bloch–Torrey equation
The Bloch–Torrey equation is an extension of the Bloch equations that incorporates diffusion effects to describe the evolution of nuclear magnetization in magnetic resonance imaging and NMR.
|
E645943
|
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: Bloch–Torrey equation | Statement: [Bloch equations, relatedTo, Bloch–Torrey equation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloch–Torrey equation Context triple: [Bloch equations, relatedTo, Bloch–Torrey equation]
-
A.
Bloch equations
The Bloch equations are a set of differential equations in nuclear magnetic resonance and quantum mechanics that describe the time evolution of nuclear magnetization in an external magnetic field.
-
B.
Fokker–Planck equation
The Fokker–Planck equation is a partial differential equation that describes the time evolution of the probability density function of a stochastic (random) process, such as Brownian motion.
-
C.
MRI
MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
-
D.
Cahn–Hilliard equation
The Cahn–Hilliard equation is a nonlinear partial differential equation that models phase separation and coarsening in binary mixtures and other systems undergoing spinodal decomposition.
-
E.
Fick's first law of diffusion
Fick's first law of diffusion is a fundamental physical law that relates the diffusive flux of particles to the spatial gradient of their concentration, describing how substances move from regions of high to low concentration.
- 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: Bloch–Torrey equation Triple: [Bloch equations, relatedTo, Bloch–Torrey equation]
Generated description
The Bloch–Torrey equation is an extension of the Bloch equations that incorporates diffusion effects to describe the evolution of nuclear magnetization in magnetic resonance imaging and NMR.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloch–Torrey equation Target entity description: The Bloch–Torrey equation is an extension of the Bloch equations that incorporates diffusion effects to describe the evolution of nuclear magnetization in magnetic resonance imaging and NMR.
-
A.
Bloch equations
The Bloch equations are a set of differential equations in nuclear magnetic resonance and quantum mechanics that describe the time evolution of nuclear magnetization in an external magnetic field.
-
B.
Fokker–Planck equation
The Fokker–Planck equation is a partial differential equation that describes the time evolution of the probability density function of a stochastic (random) process, such as Brownian motion.
-
C.
MRI
MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
-
D.
Cahn–Hilliard equation
The Cahn–Hilliard equation is a nonlinear partial differential equation that models phase separation and coarsening in binary mixtures and other systems undergoing spinodal decomposition.
-
E.
Fick's first law of diffusion
Fick's first law of diffusion is a fundamental physical law that relates the diffusive flux of particles to the spatial gradient of their concentration, describing how substances move from regions of high to low concentration.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d1652c8190973edceab55f04bc |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada12a848190b6e98e0b1a258c17 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7aeb1c59c8190b02fcb731003ad31 |
completed | March 28, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af2ad8a081909185cfd3a3d4e4d0 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:46 p.m.