Triple
T33388976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabdeno |
E854993
|
entity |
| Predicate | hasCommonAdverseReaction |
—
|
GENERATED |
| Object | injection site pain |
—
|
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: hasCommonAdverseReaction Context triple: [Zabdeno, hasCommonAdverseReaction, injection site pain]
-
A.
hasCommonAdverseEffect
chosen
Indicates that two or more entities share at least one adverse effect that occurs in response to them.
-
B.
commonAdverseReactions
Indicates that the related entities are linked through adverse reactions or side effects that frequently occur in association with one another.
-
C.
hasAdverseEffects
Indicates that one entity causes or is associated with harmful, negative, or undesired effects on another entity.
-
D.
hasRareAdverseEffects
Indicates that an entity is associated with uncommon or infrequently occurring negative or harmful side effects.
-
E.
hasCommonDrugInteraction
Indicates that two drugs share at least one known interaction that may affect their safety or effectiveness when used together.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.