Triple
T33974869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RHINE |
E871107
|
entity |
| Predicate | hasConditionStudied |
—
|
GENERATED |
| Object | diabetic macular edema |
—
|
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: hasConditionStudied Context triple: [RHINE, hasConditionStudied, diabetic macular edema]
-
A.
conditionStudied
chosen
Indicates that a particular condition (e.g., disease, state, or circumstance) is the focus of study or investigation in a given context.
-
B.
hasStudied
Indicates that an entity has engaged in learning or academic work related to another entity (such as a subject, field, or course).
-
C.
hasBeenStudiedFor
Indicates that an entity has been the subject of research, examination, or analysis for a specified purpose, topic, or application.
-
D.
hasStudyType
Indicates that an entity is associated with or characterized by a particular type or design of study.
-
E.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.