Triple
T34207311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul W. Airey Noncommissioned Officer Academy |
E877547
|
entity |
| Predicate | associatedRankCategory |
—
|
GENERATED |
| Object | noncommissioned officers |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRankCategory Context triple: [Paul W. Airey Noncommissioned Officer Academy, associatedRankCategory, noncommissioned officers]
-
A.
associatedWithRank
Indicates a relationship where an entity is linked to a specific rank, level, or hierarchical position.
-
B.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
C.
hasRankCategory
chosen
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
D.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
E.
includesRankCategory
Indicates that one entity’s set of ranks or classifications contains or encompasses a particular rank category.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.