Triple
T888973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President's Hundred Tab |
E19194
|
entity |
| Predicate | wearPosition |
P18894
|
FINISHED |
| Object | upper left sleeve on Army combat uniforms |
—
|
LITERAL 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: wearPosition Context triple: [President's Hundred Tab, wearPosition, upper left sleeve on Army combat uniforms]
-
A.
wearLocation
chosen
Indicates the typical body part or location on which an item is worn.
-
B.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
C.
wornAround
Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
-
D.
wearingClass
Indicates that one entity is wearing or dressed in an item belonging to a particular class or category of clothing or accessories.
-
E.
wearingMethod
Indicates the manner or method by which something is worn or put on.
- 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.