Triple

T12534546
Position Surface form Disambiguated ID Type / Status
Subject August Krogh E299653 entity
Predicate knownFor P22 FINISHED
Object Krogh model of capillary diffusion
The Krogh model of capillary diffusion is a classic physiological model that describes how oxygen diffuses from capillaries into surrounding tissue, forming the basis for quantitative analysis of microcirculatory oxygen transport.
E989402 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: Krogh model of capillary diffusion | Statement: [August Krogh, knownFor, Krogh model of capillary diffusion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krogh model of capillary diffusion
Context triple: [August Krogh, knownFor, Krogh model of capillary diffusion]
  • A. 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.
  • B. Monod–Wyman–Changeux model
    The Monod–Wyman–Changeux model is a foundational allosteric theory in biochemistry that explains how proteins can exist in multiple conformational states whose equilibrium is shifted by ligand binding.
  • C. Kohlrausch law of independent migration of ions
    The Kohlrausch law of independent migration of ions states that at infinite dilution, each ion contributes a characteristic, additive amount to the total molar conductivity of an electrolyte solution, independent of the other ions present.
  • D. Haldane principle of gas analysis
    The Haldane principle of gas analysis is a foundational concept in respiratory physiology that relates inspired and expired gas concentrations to quantify gas exchange in the lungs.
  • E. Kimura two-parameter model
    The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
  • 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: Krogh model of capillary diffusion
Triple: [August Krogh, knownFor, Krogh model of capillary diffusion]
Generated description
The Krogh model of capillary diffusion is a classic physiological model that describes how oxygen diffuses from capillaries into surrounding tissue, forming the basis for quantitative analysis of microcirculatory oxygen transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krogh model of capillary diffusion
Target entity description: The Krogh model of capillary diffusion is a classic physiological model that describes how oxygen diffuses from capillaries into surrounding tissue, forming the basis for quantitative analysis of microcirculatory oxygen transport.
  • A. 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.
  • B. Monod–Wyman–Changeux model
    The Monod–Wyman–Changeux model is a foundational allosteric theory in biochemistry that explains how proteins can exist in multiple conformational states whose equilibrium is shifted by ligand binding.
  • C. Kohlrausch law of independent migration of ions
    The Kohlrausch law of independent migration of ions states that at infinite dilution, each ion contributes a characteristic, additive amount to the total molar conductivity of an electrolyte solution, independent of the other ions present.
  • D. Haldane principle of gas analysis
    The Haldane principle of gas analysis is a foundational concept in respiratory physiology that relates inspired and expired gas concentrations to quantify gas exchange in the lungs.
  • E. Kimura two-parameter model
    The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.