Triple
T26485459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Ricciardo |
E664806
|
entity |
| Predicate | returnedToF1WithTeam |
P40088
|
FINISHED |
| Object | Scuderia AlphaTauri |
—
|
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 AlphaTauri | Statement: [Daniel Ricciardo, returnedToF1WithTeam, Scuderia AlphaTauri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToF1WithTeam Context triple: [Daniel Ricciardo, returnedToF1WithTeam, Scuderia AlphaTauri]
-
A.
madeF1DebutForTeam
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
B.
returnedToTeam
chosen
Indicates that an individual who was previously away has come back to rejoin the same team.
-
C.
activeInFormulaOneUntil
Indicates that an entity participated as an active competitor in Formula One up to and including a specified end time or season.
-
D.
racedForTeam
Indicates that an individual competed in races as a member or representative of a specific team.
-
E.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 12:30 a.m.