Triple
T21965441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleix Espargaró |
E542444
|
entity |
| Predicate | racingNumberUsedInMotoGP |
P59494
|
FINISHED |
| Object | 41 |
—
|
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: 41 | Statement: [Aleix Espargaró, racingNumberUsedInMotoGP, 41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingNumberUsedInMotoGP Context triple: [Aleix Espargaró, racingNumberUsedInMotoGP, 41]
-
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.
activeInMotoGPTo
Indicates that one entity is currently participating as an active competitor in MotoGP in relation to the other entity.
-
C.
activeInMotoGPFrom
Indicates the time period during which an entity has been actively participating in MotoGP.
-
D.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
-
E.
MotoGPWorldChampionshipTitleCount
Indicates the number of MotoGP World Championship titles that an entity has won.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.