Triple
T23995316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSUT |
E605172
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | U.S. Army training model |
C22164
|
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: U.S. Army training model Context triple: [OSUT, instanceOf, U.S. Army training model]
-
A.
U.S. Army training assessment
A U.S. Army training assessment is a structured evaluation process used to measure soldiers’ proficiency, readiness, and adherence to established training standards across required tasks and skills.
-
B.
U.S. Army officer accession program
A U.S. Army officer accession program is an organized pathway through which qualified individuals are selected, trained, and commissioned as officers in the United States Army.
-
C.
United States Marine Corps training pipeline
The United States Marine Corps training pipeline is the structured sequence of rigorous mental, physical, and technical development programs that transform civilian recruits and officer candidates into fully qualified Marines ready for operational service.
-
D.
military training infrastructure network
A military training infrastructure network is an integrated system of facilities, ranges, technologies, and support services designed to plan, deliver, and sustain training activities for armed forces across multiple locations.
-
E.
U.S. Army center of excellence
chosen
A U.S. Army center of excellence is an institutional organization that develops, integrates, and advances specialized doctrine, training, capabilities, and expertise for a specific warfighting or functional area across the Army.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
Created at: April 17, 2026, 9:38 p.m.