Triple
T38637030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop app |
E937592
|
entity |
| Predicate | supportsTherapyType |
P54076
|
FINISHED |
| Object | insulin pump therapy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: insulin pump therapy | Statement: [Loop app, supportsTherapyType, insulin pump therapy]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.