Triple
T34148877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marburg virus |
E875939
|
entity |
| Predicate | hasNoSpecificAntiviralTreatment |
—
|
GENERATED |
| Object | true |
—
|
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: hasNoSpecificAntiviralTreatment Context triple: [Marburg virus, hasNoSpecificAntiviralTreatment, true]
-
A.
hasNoApprovedDrugTreatment
Indicates that there is currently no officially approved drug-based treatment available for the condition or situation in question.
-
B.
hasNoCure
Indicates that there is currently no known treatment capable of curing the referenced condition or problem.
-
C.
doesNotCure
Indicates that an action, treatment, or intervention fails to eliminate or resolve a condition, problem, or disease in the affected entity.
-
D.
hasHighMortalityWithoutTreatment
Indicates that, in the absence of appropriate treatment, the condition or situation is likely to result in a high rate of death among affected individuals.
-
E.
hasReceivedTreatmentFor
Indicates that an entity has undergone or been given a treatment in relation to a specified condition, issue, or problem.
- F. None of above. chosen
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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:54 a.m.