Triple
T20938841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Energy Yamaha MotoGP |
E515658
|
entity |
| Predicate | racingNumberUsedByRider |
P59494
|
FINISHED |
| Object | 46 |
—
|
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: 46 | Statement: [Monster Energy Yamaha MotoGP, racingNumberUsedByRider, 46]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingNumberUsedByRider Context triple: [Monster Energy Yamaha MotoGP, racingNumberUsedByRider, 46]
-
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.
hasRacingUseSince
Indicates that an entity has been used for racing starting from a specified point in time.
-
D.
hasOwnerRider
Indicates that an entity (such as an animal or vehicle) has a specific person who both owns it and rides or uses it.
-
E.
bikeNumber
Indicates the specific identification number assigned to a bicycle in the relationship.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.