Triple
T21704892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Yamaha Tech3 |
E535746
|
entity |
| Predicate | activeInMotoGPTo |
P145000
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Monster Yamaha Tech3, activeInMotoGPTo, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInMotoGPTo Context triple: [Monster Yamaha Tech3, activeInMotoGPTo, 2018]
-
A.
Moto2WorldChampion
Indicates that an entity is the rider who won the overall Moto2 World Championship title in a given season.
-
B.
motoGPWorldChampionSeason
Indicates that a given MotoGP rider was the world champion for a specified racing season.
-
C.
activeInFormulaOneUntil
Indicates that an entity participated as an active competitor in Formula One up to and including a specified end time or season.
-
D.
racingActiveYears
Indicates the span of years during which an entity was actively involved in racing competitions.
-
E.
hasMotorsportInvolvement
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.