Triple
T15843000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giedo van der Garde |
E384141
|
entity |
| Predicate | hasCarNumberInGP2 |
P120092
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Giedo van der Garde, hasCarNumberInGP2, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarNumberInGP2 Context triple: [Giedo van der Garde, hasCarNumberInGP2, 10]
-
A.
carNumberInF1
Indicates the specific racing number assigned to a driver or car in Formula 1 competition.
-
B.
racingSeriesHomologatedFor
Indicates that a racing series has officially approved or certified something (typically a vehicle or component) as eligible to compete in that series.
-
C.
hasCarNumberPreviously
Indicates that an entity has been associated with a specific car number at some earlier time before the current context.
-
D.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
-
E.
hasRacingCode
Indicates that an entity is associated with a specific racing classification or identifier code.
- F. None of above. chosen
Provenance (4 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007869ae481909473ee220a7ccdb5 |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:50 a.m.