Triple
T9076182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superbike World Championship |
E217488
|
entity |
| Predicate | differenceFromMotoGP |
P87069
|
FINISHED |
| Object | uses modified production-based motorcycles |
—
|
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: uses modified production-based motorcycles | Statement: [Superbike World Championship, differenceFromMotoGP, uses modified production-based motorcycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromMotoGP Context triple: [Superbike World Championship, differenceFromMotoGP, uses modified production-based motorcycles]
-
A.
motorsportPurpose
Indicates that something exists or is used specifically for the purpose of participating in or supporting motorsport activities or events.
-
B.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
C.
hasMotorsportInvolvement
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
D.
madeMotoGPDebut
Indicates that an entity participated in its first MotoGP race or event.
-
E.
hasMotorsportVersion
Indicates that an entity has a specific variant or model designed or adapted for use in motorsport.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c53274819099b3b3047bfe8cc8 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.