Triple
T32451212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microdosing |
E829288
|
entity |
| Predicate | hasReportedEffect |
—
|
GENERATED |
| Object | Subtle changes in perception |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReportedEffect Context triple: [Microdosing, hasReportedEffect, Subtle changes in perception]
-
A.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
B.
hasIntendedEffect
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
C.
hadEffectUntil
Indicates that an effect or condition held true up to a specific time or event, after which it no longer applied.
-
D.
hasAdverseEffects
Indicates that one entity causes or is associated with harmful, negative, or undesired effects on another entity.
-
E.
hasEffectText
chosen
Indicates that a subject is associated with a textual description specifying its effect or impact.
- F. None of above.
Provenance (1 batch)
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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:56 a.m.