Triple
T26515576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniil Kvyat |
E669802
|
entity |
| Predicate | debutTeamInFormulaOne |
P128733
|
FINISHED |
| Object | Scuderia Toro Rosso |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scuderia Toro Rosso | Statement: [Daniil Kvyat, debutTeamInFormulaOne, Scuderia Toro Rosso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutTeamInFormulaOne Context triple: [Daniil Kvyat, debutTeamInFormulaOne, Scuderia Toro Rosso]
-
A.
madeF1DebutForTeam
chosen
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
B.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
-
C.
ageAtF1Debut
Indicates the age a driver was when they made their debut in Formula 1.
-
D.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
E.
racingDebut
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
- F. None of above.
Provenance (3 batches)
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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 1:23 a.m.