Triple

T1722334
Position Surface form Disambiguated ID Type / Status
Subject Bardeen–Stephen model of flux flow in superconductors E37417 entity
Predicate comparedWith P278 FINISHED
Object Nozières–Vinen model of vortex motion
The Nozières–Vinen model of vortex motion is a theoretical framework in superconductivity that describes how quantized vortices move and dissipate energy in type-II superconductors under applied currents and magnetic fields.
E37417 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: Nozières–Vinen model of vortex motion | Statement: [Bardeen–Stephen model of flux flow in superconductors, comparedWith, Nozières–Vinen model of vortex motion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nozières–Vinen model of vortex motion
Context triple: [Bardeen–Stephen model of flux flow in superconductors, comparedWith, Nozières–Vinen model of vortex motion]
  • A. Abrikosov vortices
    Abrikosov vortices are quantized magnetic flux lines that penetrate type-II superconductors in a regular lattice when exposed to magnetic fields above a critical value.
  • B. Bardeen–Stephen model of flux flow in superconductors
    The Bardeen–Stephen model of flux flow in superconductors is a theoretical framework that describes how magnetic vortices move and dissipate energy in type-II superconductors under applied currents and fields.
  • C. Ginzburg–Landau theory of superconductivity
    The Ginzburg–Landau theory of superconductivity is a phenomenological framework that describes superconductors using a complex order parameter and macroscopic equations to capture phase transitions, coherence length, and magnetic behavior.
  • D. Kraichnan model of passive scalar advection
    The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
  • E. Dynamics of Nonhomogeneous Fluids
    Dynamics of Nonhomogeneous Fluids is a seminal scientific monograph by Chia-Shun Yih that develops the theoretical foundations of fluid motion in media with spatially varying density and related properties.
  • 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: Nozières–Vinen model of vortex motion
Triple: [Bardeen–Stephen model of flux flow in superconductors, comparedWith, Nozières–Vinen model of vortex motion]
Generated description
The Nozières–Vinen model of vortex motion is a theoretical framework in superconductivity that describes how quantized vortices move and dissipate energy in type-II superconductors under applied currents and magnetic fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nozières–Vinen model of vortex motion
Target entity description: The Nozières–Vinen model of vortex motion is a theoretical framework in superconductivity that describes how quantized vortices move and dissipate energy in type-II superconductors under applied currents and magnetic fields.
  • A. Abrikosov vortices
    Abrikosov vortices are quantized magnetic flux lines that penetrate type-II superconductors in a regular lattice when exposed to magnetic fields above a critical value.
  • B. Bardeen–Stephen model of flux flow in superconductors chosen
    The Bardeen–Stephen model of flux flow in superconductors is a theoretical framework that describes how magnetic vortices move and dissipate energy in type-II superconductors under applied currents and fields.
  • C. Ginzburg–Landau theory of superconductivity
    The Ginzburg–Landau theory of superconductivity is a phenomenological framework that describes superconductors using a complex order parameter and macroscopic equations to capture phase transitions, coherence length, and magnetic behavior.
  • D. Kraichnan model of passive scalar advection
    The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
  • E. Dynamics of Nonhomogeneous Fluids
    Dynamics of Nonhomogeneous Fluids is a seminal scientific monograph by Chia-Shun Yih that develops the theoretical foundations of fluid motion in media with spatially varying density and related properties.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d58cd08190bdda9f03ca458081 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1e13d408190b393c00c331125a2 completed March 8, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69ada292a34c8190a566c2909342ab27 completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:30 p.m.