Triple
T36075196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Brazilian Grand Prix |
E1043477
|
entity |
| Predicate | ayrtonSennaCarNumber |
P92357
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [1984 Brazilian Grand Prix, ayrtonSennaCarNumber, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ayrtonSennaCarNumber Context triple: [1984 Brazilian Grand Prix, ayrtonSennaCarNumber, 19]
-
A.
championshipCarNumber
Indicates the specific car number associated with a championship-winning entry in a racing competition.
-
B.
carNumberInF1
chosen
Indicates the specific racing number assigned to a driver or car in Formula 1 competition.
-
C.
hasCarNumberInGP2
Indicates that an entity is associated with a specific car number used in the GP2 racing series.
-
D.
polePositionCarNumber
Indicates which car number achieved the pole position in a race.
-
E.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.