Triple
T13410204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikita Mazepin |
E320065
|
entity |
| Predicate | usedRacingLicence |
P19269
|
FINISHED |
| Object | Russian racing licence |
—
|
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: Russian racing licence | Statement: [Nikita Mazepin, usedRacingLicence, Russian racing licence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedRacingLicence Context triple: [Nikita Mazepin, usedRacingLicence, Russian racing licence]
-
A.
hasLicense
Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
-
B.
typeOfLicense
chosen
Indicates the specific kind or category of license associated with an entity.
-
C.
licenceAuthority
Indicates that one entity has the official power or jurisdiction to grant, issue, or regulate licences for another entity or activity.
-
D.
countryOfLicence
Indicates the country that has issued or granted a particular licence.
-
E.
previouslyLicensedAs
Indicates that an entity held a license under a different name or status at some earlier time.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.