Triple

T10502977
Position Surface form Disambiguated ID Type / Status
Subject Pedialyte E247715 entity
Predicate hasActiveComponent P36599 FINISHED
Object electrolytes 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: electrolytes | Statement: [Pedialyte, hasActiveComponent, electrolytes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasActiveComponent
Context triple: [Pedialyte, hasActiveComponent, electrolytes]
  • A. hasComponentCurrent chosen
    Indicates that an entity currently includes or contains a specific component as part of its present composition or structure.
  • B. hasComponentWork
    Indicates that one work includes another work as a constituent or subordinate component within it.
  • C. hasLivingComponents
    Indicates that an entity includes or is composed of one or more living or biological components.
  • D. hasOperationalComponent
    Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
  • E. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099c6a848190bf1d5361e9e61108 completed April 7, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69d4fb8e24ac8190912c9f11b8bd3084 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:25 p.m.