Triple
T13676913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army & Air Force Exchange Service |
E327901
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | military retail organization |
C13729
|
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: military retail organization Context triple: [Army & Air Force Exchange Service, instanceOf, military retail organization]
-
A.
military retail store
chosen
A military retail store is a specialized shop that sells uniforms, gear, equipment, and related supplies primarily to military personnel and sometimes to the general public.
-
B.
military organization
A military organization is a structured group of armed forces personnel and resources, organized under a defined hierarchy and command system, to plan, coordinate, and conduct defense and combat operations in support of a state’s strategic objectives.
-
C.
military recruitment organization
A military recruitment organization is an entity responsible for attracting, evaluating, and processing individuals for enlistment or commissioning into a nation's armed forces.
-
D.
military support organization
A military support organization is an entity that provides logistical, administrative, technical, and welfare services to enable and sustain the effective operation of armed forces.
-
E.
military capability development organization
A military capability development organization is an entity responsible for identifying future operational needs and systematically designing, testing, and integrating new doctrines, technologies, and force structures to enhance a military’s effectiveness.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.