Triple

T120774
Position Surface form Disambiguated ID Type / Status
Subject Vitamin C and the Common Cold E2439 entity
Predicate advocatesUseOf P33 FINISHED
Object high-dose vitamin C 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: high-dose vitamin C | Statement: [Vitamin C and the Common Cold, advocatesUseOf, high-dose vitamin C]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: advocatesUseOf
Context triple: [Vitamin C and the Common Cold, advocatesUseOf, high-dose vitamin C]
  • A. advocates chosen
    Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
  • B. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. advises
    Indicates that one entity provides guidance, recommendations, or counsel to another entity.
  • D. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • E. allows
    Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25647fe6081908cb0405266d35ff5 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.