Triple
T34894858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUROGENDFOR |
E1006401
|
entity |
| Predicate | hasComponentForce |
—
|
GENERATED |
| Object | French Gendarmerie Nationale |
—
|
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: hasComponentForce Context triple: [EUROGENDFOR, hasComponentForce, French Gendarmerie Nationale]
-
A.
hasComponentForces
chosen
Indicates that a composite force is associated with, or can be decomposed into, specific component forces.
-
B.
hasDimensionForForce
Indicates that one entity specifies or defines the dimensional characteristics associated with a force-related quantity of another entity.
-
C.
componentForces
Indicates that a force is decomposed into its constituent directional components that together produce the original overall force.
-
D.
hasTypeOfForces
Indicates that one entity is associated with, or characterized by, a particular kind or category of forces.
-
E.
hasForceStrength
Indicates that one entity possesses a certain level or degree of physical or exerted force strength in relation to another entity or context.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.