Triple
T33145371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin DB series |
E848275
|
entity |
| Predicate | firstBondCarModel |
—
|
GENERATED |
| Object | Aston Martin DB5 |
—
|
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: firstBondCarModel Context triple: [Aston Martin DB series, firstBondCarModel, Aston Martin DB5]
-
A.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
B.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
C.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
D.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
E.
firstAllElectricModelOfBrand
Indicates that the subject is the first fully electric vehicle model produced by the specified brand.
- F. None of above. chosen
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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:28 a.m.