Triple
T36153597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edsel Roundup |
E1045658
|
entity |
| Predicate | numberOfModelYears |
—
|
GENERATED |
| Object | 1 |
—
|
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: numberOfModelYears Context triple: [Edsel Roundup, numberOfModelYears, 1]
-
A.
modelYears
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
-
B.
numberOfModels
Indicates the quantity or count of models associated with a given entity or context.
-
C.
winnerModelYear
Indicates that a model was the winning model for a particular year.
-
D.
conceptCarYear
Indicates the year in which a concept car was first introduced, presented, or designated.
-
E.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.