Triple
T33316225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Health Research |
E853023
|
entity |
| Predicate | supportsStudyType |
—
|
GENERATED |
| Object | observational studies |
—
|
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: supportsStudyType Context triple: [Apple Health Research, supportsStudyType, observational studies]
-
A.
supportsLevelOfStudy
Indicates that one entity provides or is compatible with a specified level of academic or educational study for another entity.
-
B.
hasStudyType
chosen
Indicates that an entity is associated with or characterized by a particular type or design of study.
-
C.
canBeStudiedAs
Indicates that something is suitable or appropriate to be examined, analyzed, or researched as a subject of study.
-
D.
studType
Indicates a relationship where an entity is classified as a particular type or category of stud (e.g., a specific kind of fastener or structural element).
-
E.
supportsDisciplineType
Indicates that one entity provides backing, resources, or compatibility for a specified type of discipline (e.g., academic, professional, or technical field).
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:33 a.m.