Triple
T22144540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maverick Viñales |
E547250
|
entity |
| Predicate | racingNumberUsedInMoto3 |
P59494
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Maverick Viñales, racingNumberUsedInMoto3, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingNumberUsedInMoto3 Context triple: [Maverick Viñales, racingNumberUsedInMoto3, 25]
-
A.
racingNumber
chosen
Indicates that an entity has been assigned a specific competition or race identification number used to distinguish it from other participants.
-
B.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
-
C.
activeInMotoGPTo
Indicates that one entity is currently participating as an active competitor in MotoGP in relation to the other entity.
-
D.
hasRacingUseSince
Indicates that an entity has been used for racing starting from a specified point in time.
-
E.
hasCarNumberInGP2
Indicates that an entity is associated with a specific car number used in the GP2 racing series.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129efd52c8190ab0acff5bbfc0d77 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.