Triple
T31959852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | liver model of Piacenza |
E816006
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hepatoscopy teaching tool |
C22960
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: hepatoscopy teaching tool Context triple: [liver model of Piacenza, instanceOf, hepatoscopy teaching tool]
-
A.
surgical training centre
A surgical training centre is a specialized facility where medical professionals learn, practice, and refine surgical skills using structured curricula, simulation technologies, and supervised clinical experiences.
-
B.
surgical treatise
A surgical treatise is a comprehensive, systematically organized written work that explains surgical principles, techniques, and case experiences for the instruction and reference of medical practitioners.
-
C.
surgical school
A surgical school is an educational institution or program dedicated to training medical students and professionals in the theory, techniques, and practical skills of surgery.
-
D.
walk-through anatomical model
chosen
A walk-through anatomical model is a large-scale, often life-sized, three-dimensional representation of the human body or its systems designed so that people can physically enter and move through it to explore internal structures and functions.
-
E.
descent imaging system
A descent imaging system is a sensor suite and processing unit mounted on a descending vehicle (such as a lander or probe) that captures, analyzes, and transmits images of the surface below in real time to support navigation, hazard detection, and scientific observation during descent.
- F. None of above.
Provenance (1 batch)
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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:08 a.m.