Triple
T18652272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Special Care Dentistry |
E455970
|
entity |
| Predicate | servesPatientGroup |
P93846
|
FINISHED |
| Object | patients with medical complexities |
—
|
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: patients with medical complexities | Statement: [Department of Special Care Dentistry, servesPatientGroup, patients with medical complexities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPatientGroup Context triple: [Department of Special Care Dentistry, servesPatientGroup, patients with medical complexities]
-
A.
hasPatientGroup
Indicates a relationship in which an entity (such as a study, treatment, or clinical activity) is associated with a specific group of patients it involves or targets.
-
B.
servesGroup
chosen
Indicates that one entity provides services or functions in support of a particular group or collective.
-
C.
servedPerson
Indicates that one entity has provided service, assistance, or attention to another entity.
-
D.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
E.
hasClinicalService
Indicates that an entity provides, offers, or is associated with a specific clinical service.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5501279d08190aeca36df89fee2b2 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.