Triple
T16180923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto2 |
E392679
|
entity |
| Predicate | notableChampionExamples |
P28766
|
FINISHED |
| Object | Francesco Bagnaia |
E547251
|
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: Francesco Bagnaia | Statement: [Moto2, notableChampionExamples, Francesco Bagnaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francesco Bagnaia Context triple: [Moto2, notableChampionExamples, Francesco Bagnaia]
-
A.
Francesco Bagnaia
chosen
Francesco Bagnaia is an Italian MotoGP rider and multiple-time world champion known for racing with the Ducati Lenovo Team.
-
B.
Fabio Quartararo
Fabio Quartararo is a French MotoGP rider and 2021 premier-class world champion known for his speed and aggressive riding style.
-
C.
Aleix Espargaró
Aleix Espargaró is a Spanish Grand Prix motorcycle road racer known for his long-standing presence in MotoGP and his role in developing Aprilia’s competitiveness in the premier class.
-
D.
Pol Espargaró
Pol Espargaró is a Spanish Grand Prix motorcycle road racer known for competing in the MotoGP World Championship with multiple factory and satellite teams.
-
E.
Gian Diego Tipaldi
Gian Diego Tipaldi is a robotics and artificial intelligence researcher known for his work in probabilistic modeling and perception, and for being a doctoral student of Wolfram Burgard.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22709b0d88190b40787e0520d02ab |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.