Triple
T25643146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Bezos |
E642885
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | volunteer firefighter |
C41865
|
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: volunteer firefighter Context triple: [Mark Bezos, instanceOf, volunteer firefighter]
-
A.
American firefighter
chosen
An American firefighter is a trained emergency responder who protects life, property, and the environment by combating fires, performing rescues, and managing a wide range of hazardous situations within communities across the United States.
-
B.
paramilitary volunteer
A paramilitary volunteer is an individual who voluntarily joins and participates in an organized, non-regular armed group that operates with military-style structure, training, or tactics, often in support of or parallel to official security forces.
-
C.
fire chief
A fire chief is the highest-ranking officer in a fire department, responsible for overseeing all firefighting operations, personnel, training, safety protocols, and administrative functions to protect life and property.
-
D.
firefighting organization
A firefighting organization is a coordinated group responsible for preventing, controlling, and extinguishing fires, as well as responding to related emergencies to protect life, property, and the environment.
-
E.
firefighting training facility
A firefighting training facility is a specialized environment equipped with realistic fire and emergency simulations where firefighters learn, practice, and refine skills in fire suppression, rescue operations, and safety procedures.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 5:48 p.m.