Triple
T35059635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frecce Tricolori aircraft |
E1011558
|
entity |
| Predicate | primaryCurrentType |
—
|
GENERATED |
| Object | Aermacchi MB-339-A/PAN |
—
|
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: primaryCurrentType Context triple: [Frecce Tricolori aircraft, primaryCurrentType, Aermacchi MB-339-A/PAN]
-
A.
primaryCurrentUse
Indicates the main way something is currently being used or its principal present function.
-
B.
primaryType
chosen
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
C.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
D.
primaryUserType
Indicates the main or dominant category of user associated with an entity or interaction.
-
E.
primaryConduitType
Indicates the main type or category of conduit used as the primary pathway for a connection or flow between entities.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.