Triple
T12786699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creighton University School of Dentistry |
E305646
|
entity |
| Predicate | clinicalEmphasis |
P106905
|
FINISHED |
| Object | comprehensive patient care |
—
|
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: comprehensive patient care | Statement: [Creighton University School of Dentistry, clinicalEmphasis, comprehensive patient care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalEmphasis Context triple: [Creighton University School of Dentistry, clinicalEmphasis, comprehensive patient care]
-
A.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
B.
clinicalBaseOf
Indicates that one clinical entity serves as the foundational basis or underlying source for another clinical entity (such as a diagnosis, assessment, or decision).
-
C.
clinicalRole
Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
-
D.
clinicalForm
Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
-
E.
medicalText
Indicates that the subject is a piece of text whose content is medical in nature, such as clinical, diagnostic, or health-related information.
- F. None of above. chosen
Provenance (4 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:29 p.m.