Triple
T26461749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Gasly |
E665656
|
entity |
| Predicate | hasRacedForTeam |
P60038
|
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: [Pierre Gasly, hasRacedForTeam, Scuderia Toro Rosso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacedForTeam Context triple: [Pierre Gasly, hasRacedForTeam, Scuderia Toro Rosso]
-
A.
racedForTeam
chosen
Indicates that an individual competed in races as a member or representative of a specific team.
-
B.
raceWonWithTeam
Indicates that an individual won a race while competing as a member of a specified team.
-
C.
racedInSeries
Indicates that an entity participated as a competitor in a particular racing series or championship.
-
D.
hadGrandPrix
Indicates that a particular Grand Prix event took place as part of, or was hosted by, a given competition, season, or venue.
-
E.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 12:13 a.m.