Triple
T16266560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Lorenzo |
E394889
|
entity |
| Predicate | MotoGPWorldChampionshipTitleCount |
P122437
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Jorge Lorenzo, MotoGPWorldChampionshipTitleCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MotoGPWorldChampionshipTitleCount Context triple: [Jorge Lorenzo, MotoGPWorldChampionshipTitleCount, 3]
-
A.
numberOfF1WorldChampionships
Indicates the number of Formula 1 World Championship titles that an entity has won.
-
B.
numberOfFormulaOneTTWorldTitles
Indicates the count of Formula One TT World Championship titles that an entity has won.
-
C.
worldDriversChampionCarNumber
Indicates the car number driven by the Formula 1 World Drivers' Champion in a given season.
-
D.
GrandPrixTitle
Indicates that an entity has won a championship or overall title in a Grand Prix competition or series.
-
E.
grandPrixRaceWins
Indicates the number of Grand Prix races that an entity has won.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.