Triple
T12901708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidiians |
E308625
|
entity |
| Predicate | medicalPractice |
P107351
|
FINISHED |
| Object | forced organ extraction |
—
|
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: forced organ extraction | Statement: [Vidiians, medicalPractice, forced organ extraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalPractice Context triple: [Vidiians, medicalPractice, forced organ extraction]
-
A.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
B.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
C.
medicalAffiliation
Indicates a formal professional or institutional relationship between an entity and a medical organization, such as employment, membership, or clinical association.
-
D.
medicalCar
Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to another entity.
-
E.
primaryPractice
Indicates that one entity is the main or most significant activity, occupation, or method regularly carried out or used by 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.