Triple
T2058859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shriners Hospitals for Children – Canada |
E45739
|
entity |
| Predicate | providesCareFor |
P16415
|
FINISHED |
| Object | orthopedic conditions |
—
|
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: orthopedic conditions | Statement: [Shriners Hospitals for Children – Canada, providesCareFor, orthopedic conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesCareFor Context triple: [Shriners Hospitals for Children – Canada, providesCareFor, orthopedic conditions]
-
A.
providesCareSetting
Indicates that one entity serves as the care environment or setting in which another entity receives or delivers care.
-
B.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
C.
providesSupportTo
chosen
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
D.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
E.
professionServed
Indicates that an entity has performed work or provided services in a particular profession or occupational role.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.