Triple

T19711240
Position Surface form Disambiguated ID Type / Status
Subject peyote E473348 entity
Predicate primaryPsychoactiveComponent P137038 FINISHED
Object mescaline 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: mescaline | Statement: [peyote, primaryPsychoactiveComponent, mescaline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPsychoactiveComponent
Context triple: [peyote, primaryPsychoactiveComponent, mescaline]
  • A. psychoactiveProfile
    Indicates the characteristic pattern of psychoactive effects or mental state changes produced by a substance, treatment, or exposure.
  • B. isPsychoactive
    Indicates that a substance or agent has effects on the mind or nervous system that can alter perception, mood, consciousness, cognition, or behavior.
  • C. isNonPsychoactivePrecursorOf
    Indicates that one substance is a precursor of another in a biochemical or pharmacological pathway, and that the precursor itself does not produce psychoactive effects.
  • D. primarySubstanceExample
    Indicates that one entity serves as the main illustrative example of a particular substance associated with another entity.
  • E. primaryDrug
    Indicates that one drug is identified as the main or most important medication in a given treatment, context, or combination relative to other associated drugs.
  • F. None of above. chosen

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64408bde08190aa3bef8516491e03 completed April 20, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
PDg Predicate description generation batch_69e532bbedf081908d801600e2af94a7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:46 p.m.