Triple
T20740270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Medicine, King George’s Medical University |
E509818
|
entity |
| Predicate | clinicalScope |
P106905
|
FINISHED |
| Object | Diagnosis of adult diseases |
—
|
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: Diagnosis of adult diseases | Statement: [Department of Medicine, King George’s Medical University, clinicalScope, Diagnosis of adult diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalScope Context triple: [Department of Medicine, King George’s Medical University, clinicalScope, Diagnosis of adult diseases]
-
A.
clinicalEmphasis
chosen
Indicates a focus or priority placed on clinical aspects, practices, or outcomes within a given context or activity.
-
B.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
C.
clinicalRole
Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
-
D.
clinicalContext
Indicates the medical situation, setting, or circumstances under which a clinical finding, observation, or action occurs.
-
E.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:32 p.m.