Triple
T36505153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Harfleur |
E899440
|
entity |
| Predicate | hasNotableDisease |
—
|
GENERATED |
| Object | dysentery among English troops |
—
|
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: hasNotableDisease Context triple: [Siege of Harfleur, hasNotableDisease, dysentery among English troops]
-
A.
hasAssociatedDisease
chosen
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
B.
hasNotableDrug
Indicates that an entity is associated with a drug that is considered notable or significant in some recognized context.
-
C.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
D.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
E.
isNotifiableDiseaseIn
Indicates that a disease is classified as notifiable within a specified jurisdiction or region, requiring mandatory reporting to public health authorities there.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.