Triple
T34148848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marburg virus |
E875939
|
entity |
| Predicate | firstOutbreakAssociatedWith |
—
|
GENERATED |
| Object | imported African green monkeys |
—
|
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: firstOutbreakAssociatedWith Context triple: [Marburg virus, firstOutbreakAssociatedWith, imported African green monkeys]
-
A.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
B.
associatedOutbreak
chosen
Indicates that one entity (such as a case, location, or event) is linked to or involved in a particular outbreak.
-
C.
epidemicStartAssociation
Indicates an association between an entity and the onset or initial occurrence of an epidemic event.
-
D.
associatedWithEpidemic
Indicates that something has a connection or relevance to an epidemic, such as being caused by, occurring during, or contributing to that epidemic.
-
E.
outbreakDisease
Indicates that a disease begins to spread rapidly within a population or area, marking the start of an outbreak.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:54 a.m.