Triple

T33205142
Position Surface form Disambiguated ID Type / Status
Subject erythema nodosum E849999 entity
Predicate treatmentIncludes P122242 FINISHED
Object rest 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: rest | Statement: [erythema nodosum, treatmentIncludes, rest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatmentIncludes
Context triple: [erythema nodosum, treatmentIncludes, rest]
  • A. includesTreatmentWorks
    Indicates that something (such as a plan, project, or system) contains or incorporates specific treatment works or treatment facilities as part of it.
  • B. treats
    Indicates that one entity provides medical care or therapeutic intervention to another entity.
  • C. treatmentType chosen
    Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
  • D. treatmentOf
    Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
  • E. usesTreatment
    Indicates that one entity applies or employs a particular treatment or therapeutic method on or for 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:30 a.m.