Triple
T22853483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNC Hospice |
E566414
|
entity |
| Predicate | careApproach |
P149986
|
FINISHED |
| Object | interdisciplinary team-based 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: interdisciplinary team-based care | Statement: [UNC Hospice, careApproach, interdisciplinary team-based care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careApproach Context triple: [UNC Hospice, careApproach, interdisciplinary team-based care]
-
A.
care
Indicates showing concern, attention, or responsibility for the well-being or needs of another entity.
-
B.
requiresCare
Indicates that one entity depends on another to provide care, attention, or maintenance for its proper functioning or well-being.
-
C.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
D.
traditionalCareBy
Indicates that one entity receives traditional or culturally rooted care, treatment, or support from another entity.
-
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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eba65a881908c484262c3ee5212 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:37 p.m.