Triple

T1007917
Position Surface form Disambiguated ID Type / Status
Subject Jacob Bjerknes E21754 entity
Predicate developedConcept P73 FINISHED
Object Bjerknes circulation theorem (applications in meteorology)
The Bjerknes circulation theorem is a fundamental principle in meteorology that relates changes in atmospheric circulation to forces such as pressure gradients and heating, forming a basis for understanding large-scale weather systems and cyclogenesis.
E122342 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: Bjerknes circulation theorem (applications in meteorology) | Statement: [Jacob Bjerknes, developedConcept, Bjerknes circulation theorem (applications in meteorology)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjerknes circulation theorem (applications in meteorology)
Context triple: [Jacob Bjerknes, developedConcept, Bjerknes circulation theorem (applications in meteorology)]
  • A. Ekman transport
    Ekman transport is an oceanographic process in which wind-driven surface waters move at an angle to the wind direction due to the Coriolis effect, causing net water transport perpendicular to the wind.
  • B. Navier–Stokes equations
    The Navier–Stokes equations are fundamental partial differential equations in fluid mechanics that describe how the velocity field of a fluid evolves under forces like pressure and viscosity.
  • C. Euler equations
    The Euler equations are fundamental partial differential equations in fluid dynamics that describe the motion of an ideal (inviscid) fluid without viscosity.
  • D. Einstein bed-load function
    The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
  • E. Lax equivalence theorem
    The Lax equivalence theorem is a fundamental result in numerical analysis stating that for a well-posed linear initial value problem, consistency and stability of a finite difference scheme together imply its convergence.
  • 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: Bjerknes circulation theorem (applications in meteorology)
Triple: [Jacob Bjerknes, developedConcept, Bjerknes circulation theorem (applications in meteorology)]
Generated description
The Bjerknes circulation theorem is a fundamental principle in meteorology that relates changes in atmospheric circulation to forces such as pressure gradients and heating, forming a basis for understanding large-scale weather systems and cyclogenesis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bjerknes circulation theorem (applications in meteorology)
Target entity description: The Bjerknes circulation theorem is a fundamental principle in meteorology that relates changes in atmospheric circulation to forces such as pressure gradients and heating, forming a basis for understanding large-scale weather systems and cyclogenesis.
  • A. Ekman transport
    Ekman transport is an oceanographic process in which wind-driven surface waters move at an angle to the wind direction due to the Coriolis effect, causing net water transport perpendicular to the wind.
  • B. Navier–Stokes equations
    The Navier–Stokes equations are fundamental partial differential equations in fluid mechanics that describe how the velocity field of a fluid evolves under forces like pressure and viscosity.
  • C. Euler equations
    The Euler equations are fundamental partial differential equations in fluid dynamics that describe the motion of an ideal (inviscid) fluid without viscosity.
  • D. Einstein bed-load function
    The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
  • E. Lax equivalence theorem
    The Lax equivalence theorem is a fundamental result in numerical analysis stating that for a well-posed linear initial value problem, consistency and stability of a finite difference scheme together imply its convergence.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a2186c819081a495bc15f8c7fd completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba9406c81909a13375fea05ee99 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c0491788190b6a1f6d80c4b26ce completed March 7, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbb30d081909759df25c21eb275 completed March 7, 2026, 2:56 p.m.
Created at: March 1, 2026, 7:41 p.m.