Triple
T37396569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokusai Aircraft Company |
E928868
|
entity |
| Predicate | primaryUserOfProducts |
—
|
GENERATED |
| Object | Imperial Japanese Army Air Service |
—
|
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: primaryUserOfProducts Context triple: [Kokusai Aircraft Company, primaryUserOfProducts, Imperial Japanese Army Air Service]
-
A.
primaryUser
Indicates that the referenced user is the main or principal user associated with a given account, resource, or context.
-
B.
primaryBrandUser
Indicates that a user is designated as the main or primary user associated with a particular brand.
-
C.
primaryUsersOf
chosen
Indicates that the subject is the main or most frequent user(s) of the object.
-
D.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
E.
primaryUserType
Indicates the main or dominant category of user associated with an entity or interaction.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.