Triple
T35752387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Spanish Grand Prix |
E1033350
|
entity |
| Predicate | debutRaceForTeam |
P128733
|
FINISHED |
| Object | Max Verstappen with Red Bull Racing |
—
|
LITERAL FINISHED |
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: Max Verstappen with Red Bull Racing | Statement: [2016 Spanish Grand Prix, debutRaceForTeam, Max Verstappen with Red Bull Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutRaceForTeam Context triple: [2016 Spanish Grand Prix, debutRaceForTeam, Max Verstappen with Red Bull Racing]
-
A.
debutingTeam
Indicates that an entity is the team for which another entity (such as a player or work) is making its first official appearance or debut.
-
B.
debutTeamForDriverInCup
Indicates the team for which a driver made their debut appearance in a Cup series.
-
C.
debutantTeam
Indicates that a team is participating in a competition, league, or event for the first time.
-
D.
racingDebut
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
-
E.
madeF1DebutForTeam
chosen
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a198e24881909cc292e420269a8c |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.