Triple
T888596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Secretary of the Army |
E19185
|
entity |
| Predicate | isCivilianPosition |
P4480
|
FINISHED |
| Object | true |
—
|
LITERAL 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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilianPosition Context triple: [Assistant Secretary of the Army, isCivilianPosition, true]
-
A.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
B.
isCivilianOffice
chosen
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
C.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
D.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
E.
civilianTarget
Indicates that the action or operation is directed at, affects, or designates civilians or civilian objects as the target.
- F. None of above.
Provenance (2 batches)
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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9227ec8190a726456fc77c3ebb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.