Triple
T18797640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Manuel Fangio |
E459677
|
entity |
| Predicate | grandPrixWinRate |
P133061
|
FINISHED |
| Object | approximately 47 percent |
—
|
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: approximately 47 percent | Statement: [Juan Manuel Fangio, grandPrixWinRate, approximately 47 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandPrixWinRate Context triple: [Juan Manuel Fangio, grandPrixWinRate, approximately 47 percent]
-
A.
grandPrixRaceWins
Indicates the number of Grand Prix races that an entity has won.
-
B.
grandPrixWin
Indicates that an entity has achieved victory in a Grand Prix event or race.
-
C.
championshipWinRate
Indicates the proportion of championships won relative to the total number of championship opportunities or appearances.
-
D.
raceRecordWins
Indicates that one entity has achieved a greater number of wins than another entity in recorded races.
-
E.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.