Triple
T16266590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Lorenzo |
E394889
|
entity |
| Predicate | manufacturerRiddenFor |
P65898
|
FINISHED |
| Object | Ducati |
E37747
|
NE 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: Ducati | Statement: [Jorge Lorenzo, manufacturerRiddenFor, Ducati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ducati Context triple: [Jorge Lorenzo, manufacturerRiddenFor, Ducati]
-
A.
Ducati
chosen
Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
-
B.
Aprilia
Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
-
C.
Aprilia
Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
-
D.
MV Agusta
MV Agusta is an Italian motorcycle manufacturer renowned for its high-performance racing heritage and multiple world championship titles.
-
E.
Ducati Hypermotard
The Ducati Hypermotard is a high-performance Italian supermoto-style motorcycle known for its aggressive styling, upright riding position, and agile handling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f9b8bc81909315b14c3c1f6d83 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.