Triple

T34091349
Position Surface form Disambiguated ID Type / Status
Subject Nav1.1 sodium channel E874308 entity
Predicate dysfunctionLeadsTo P149298 FINISHED
Object network hyperexcitability LITERAL FINISHED

How this triple was built (2 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: network hyperexcitability | Statement: [Nav1.1 sodium channel, dysfunctionLeadsTo, network hyperexcitability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dysfunctionLeadsTo
Context triple: [Nav1.1 sodium channel, dysfunctionLeadsTo, network hyperexcitability]
  • A. dysfunctionAssociatedWith
    Indicates a relationship where a dysfunction is linked or correlated with another condition, factor, or entity.
  • B. lossOfFunctionLeadsTo chosen
    Indicates that when the function of one entity is reduced or eliminated, it causes or results in a specific effect or outcome in another entity or system.
  • C. causesSocialComplicationsFor
    Indicates that one entity’s behavior, condition, or presence leads to difficulties, conflicts, or awkward situations in another entity’s social interactions or relationships.
  • D. deficiencyAssociatedWith
    Indicates an association where a lack or insufficiency of one entity is related to the occurrence, presence, or severity of another entity.
  • E. causesDiseaseType
    Indicates that one entity is responsible for causing a specific type or category of disease in another entity.
  • F. None of above.

Provenance (3 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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c16095081908ffa34ea55556a65 completed May 3, 2026, 8:49 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:52 a.m.