Triple
T36075455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Grand Prix |
E1043483
|
entity |
| Predicate | firstWorldChampionshipWinner |
—
|
GENERATED |
| Object | Giuseppe Farina |
—
|
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: firstWorldChampionshipWinner Context triple: [British Grand Prix, firstWorldChampionshipWinner, Giuseppe Farina]
-
A.
worldChampionPredecessor
Indicates that one entity was the immediate previous world champion before another entity.
-
B.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
C.
worldChampionIn
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
D.
firstChampions
chosen
Indicates that the subject entities are the initial or earliest champions (winners or title holders) in a given competition, event, or context.
-
E.
featuredWorldChampion
Indicates that an entity has been highlighted or showcased specifically in its capacity as a world champion.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.