Triple
T38637030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop app |
E937592
|
entity |
| Predicate | supportsTherapyType |
—
|
GENERATED |
| Object | insulin pump therapy |
—
|
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: supportsTherapyType Context triple: [Loop app, supportsTherapyType, insulin pump therapy]
-
A.
includesTherapy
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
B.
supportsTreatmentType
chosen
Indicates that one entity is capable of providing, handling, or is compatible with a specified type of treatment.
-
C.
hasTherapyContext
Indicates that an entity is associated with, occurs within, or is characterized by a specific therapeutic setting, framework, or treatment context.
-
D.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.