Triple
T35795353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1950 Italian Grand Prix |
E1034815
|
entity |
| Predicate | decidedDriversChampion |
P102464
|
FINISHED |
| Object | Giuseppe Farina |
—
|
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: Giuseppe Farina | Statement: [1950 Italian Grand Prix, decidedDriversChampion, Giuseppe Farina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decidedDriversChampion Context triple: [1950 Italian Grand Prix, decidedDriversChampion, Giuseppe Farina]
-
A.
determinesChampionBy
Indicates that one entity establishes or decides which entity is the champion, typically as the outcome of a competition or evaluation.
-
B.
driversChampionshipWin
chosen
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
C.
championTeamDrivers
Indicates that the specified drivers were the official championship-winning drivers for the given team in a particular competition or season.
-
D.
driversChampionWins
Indicates the number of championship titles won by a particular driver.
-
E.
driversChampionMargin
Indicates the points difference by which the drivers’ champion finished ahead of the next-best competitor in the championship standings.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a25431b481908e39e953b207b6be |
completed | May 3, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.