Triple
T28991193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Fittipaldi |
E736028
|
entity |
| Predicate | madeF1RaceDebutFor |
P128733
|
FINISHED |
| Object | Haas F1 Team |
—
|
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: Haas F1 Team | Statement: [Pietro Fittipaldi, madeF1RaceDebutFor, Haas F1 Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeF1RaceDebutFor Context triple: [Pietro Fittipaldi, madeF1RaceDebutFor, Haas F1 Team]
-
A.
madeF1DebutForTeam
chosen
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
B.
racingDebut
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
-
C.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
-
D.
madeMotoGPDebut
Indicates that an entity participated in its first MotoGP race or event.
-
E.
ageAtF1Debut
Indicates the age a driver was when they made their debut in Formula 1.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:25 a.m.