Triple
T36674470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Family and Community Medicine |
E905506
|
entity |
| Predicate | focusesOnPatientCareSetting |
P193577
|
FINISHED |
| Object | outpatient 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: outpatient care | Statement: [Department of Family and Community Medicine, focusesOnPatientCareSetting, outpatient care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnPatientCareSetting Context triple: [Department of Family and Community Medicine, focusesOnPatientCareSetting, outpatient care]
-
A.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
B.
providesCareSetting
Indicates that one entity serves as the care environment or setting in which another entity receives or delivers care.
-
C.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
D.
treatmentSetting
Indicates the type of environment or context in which a treatment or intervention is delivered.
-
E.
positionOnHealthCare
Indicates a person or entity’s stance, opinion, or policy preference regarding health care systems, services, or reforms.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:12 p.m.