Triple
T33565619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OhioHealth |
E859748
|
entity |
| Predicate | operatesEducationalProgramType |
P2489
|
FINISHED |
| Object | residency program |
—
|
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: residency program | Statement: [OhioHealth, operatesEducationalProgramType, residency program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesEducationalProgramType Context triple: [OhioHealth, operatesEducationalProgramType, residency program]
-
A.
typeOfSchoolOperated
Indicates the specific category or kind of school that an entity is responsible for operating.
-
B.
operatesInEducationalSector
Indicates that an entity conducts its primary activities or provides services within the field of education or the educational industry.
-
C.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
D.
operatesSchoolsFor
Indicates that one entity manages and runs schools on behalf of or for the benefit of another entity.
-
E.
operatesInSchoolSystem
Indicates that an entity carries out its functions or activities within a particular school system or educational district.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: May 1, 2026, 1:40 a.m.