Triple
T15574536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayo Clinic Health System – Franciscan Healthcare |
E374333
|
entity |
| Predicate | providesComprehensiveCare |
P119242
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mayo Clinic Health System – Franciscan Healthcare, providesComprehensiveCare, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesComprehensiveCare Context triple: [Mayo Clinic Health System – Franciscan Healthcare, providesComprehensiveCare, true]
-
A.
providesCareSetting
Indicates that one entity serves as the care environment or setting in which another entity receives or delivers care.
-
B.
providesCareRegardlessOfAbilityToPay
Indicates that one party delivers care or services to another without considering or being limited by the recipient’s ability to pay.
-
C.
traditionalCareBy
Indicates that one entity receives traditional or culturally rooted care, treatment, or support from another entity.
-
D.
isComprehensive
Indicates that something fully covers all relevant aspects, elements, or details of a subject without significant omissions.
-
E.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.