Triple
T35752090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus F1 Team |
E1033344
|
entity |
| Predicate | firstRaceWithE22 |
—
|
GENERATED |
| Object | 2014 Australian Grand Prix |
—
|
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: firstRaceWithE22 Context triple: [Lotus F1 Team, firstRaceWithE22, 2014 Australian Grand Prix]
-
A.
firstRaceState
Indicates the state or location where an entity’s first race or racing event took place.
-
B.
initiallyRacedWith
Indicates that two entities participated in the same race or competitive event at the beginning of a relevant period or career.
-
C.
firstRaceAtCircuit
Indicates that the referenced race is the first race ever held at the specified circuit.
-
D.
racedAs
Indicates that one entity participated in a race or competition under the identity, name, or classification of another entity.
-
E.
nightRaceIntroduced
Indicates that a race or competition is introduced or held during nighttime conditions.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.