Triple
T9477426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCLAA |
E228550
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tobacco control law |
C3030
|
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: tobacco control law Context triple: [FCLAA, instanceOf, tobacco control law]
-
A.
tobacco control measure
chosen
A tobacco control measure is a policy, regulation, or intervention designed to reduce tobacco use, exposure to tobacco smoke, and the associated health and social harms.
-
B.
tobacco control initiative
A tobacco control initiative is a coordinated set of policies, programs, and interventions designed to reduce tobacco use, prevent initiation, and minimize health and social harms associated with tobacco products.
-
C.
smoking tobacco
Smoking tobacco is the act of inhaling and exhaling smoke from burning tobacco products, typically for recreational, habitual, or addictive purposes, often with significant health risks.
-
D.
tobacco product brand
A tobacco product brand is a distinct commercial identity under which tobacco-related goods, such as cigarettes, cigars, or smokeless tobacco, are marketed and sold to consumers.
-
E.
anti-drug legislation
Anti-drug legislation comprises laws and regulations designed to control, restrict, or prohibit the production, distribution, possession, and use of certain drugs, often with the goals of protecting public health, reducing crime, and regulating pharmaceutical and recreational substances.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
Created at: March 30, 2026, 7:54 p.m.