Triple

T4342964
Position Surface form Disambiguated ID Type / Status
Subject all-or-none principle in nerve excitation E97828 entity
Predicate isFundamentalTo P3979 FINISHED
Object Hodgkin–Huxley model of the action potential E381979 NE FINISHED

How this triple was built (3 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: Hodgkin–Huxley model of the action potential | Statement: [all-or-none principle in nerve excitation, isFundamentalTo, Hodgkin–Huxley model of the action potential]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hodgkin–Huxley model of the action potential
Context triple: [all-or-none principle in nerve excitation, isFundamentalTo, Hodgkin–Huxley model of the action potential]
  • A. Hodgkin–Huxley model chosen
    The Hodgkin–Huxley model is a mathematical description of how action potentials in neurons are initiated and propagated through voltage-gated ion channels in the cell membrane.
  • B. all-or-none principle in nerve excitation
    The all-or-none principle in nerve excitation is the physiological rule that a nerve fiber, once stimulated beyond a certain threshold, responds with a full, uniform action potential rather than a graded response.
  • C. The Computational Brain
    The Computational Brain is an influential book that explores how principles of computation and neural networks can explain brain function and cognition.
  • D. Hopfield networks
    Hopfield networks are recurrent artificial neural networks that serve as content-addressable memory systems, storing patterns as stable states and retrieving them through dynamics that minimize an energy function.
  • E. Untersuchungen über tierische Elektricität
    Untersuchungen über tierische Elektricität is a foundational 19th-century scientific work that systematically established the electrical nature of nerve and muscle activity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFundamentalTo
Context triple: [all-or-none principle in nerve excitation, isFundamentalTo, Hodgkin–Huxley model of the action potential]
  • A. isFundamental chosen
    Indicates that something is a basic, essential, or foundational element upon which other things depend or are built.
  • B. isBackboneOf
    Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
  • C. isCoreComponentOf
    Indicates that something is an essential, foundational part required for the structure, function, or identity of another entity.
  • D. isFeatureOf
    Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
  • E. isFedBy
    Indicates that one entity receives nourishment, food, or sustenance from another entity.
  • F. None of above.

Provenance (4 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba2b49c81909b7bf87672d71611 completed March 14, 2026, 10:05 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:14 p.m.