Triple
T32185652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airman First Class (USSF enlisted rank) |
E822101
|
entity |
| Predicate | typicalCareerPhase |
—
|
GENERATED |
| Object | early career |
—
|
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: typicalCareerPhase Context triple: [Airman First Class (USSF enlisted rank), typicalCareerPhase, early career]
-
A.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
B.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
C.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
-
D.
showsCareerPhaseOf
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
E.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:35 a.m.