Triple
T31323923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darya |
E798827
|
entity |
| Predicate | notableInSportThroughBearer |
—
|
GENERATED |
| Object | biathlon |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInSportThroughBearer Context triple: [Darya, notableInSportThroughBearer, biathlon]
-
A.
notableAthlete
chosen
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
B.
notableCharacterSport
Indicates that a notable character is associated with, participates in, or is prominently linked to a particular sport.
-
C.
notableBearerLeague
Indicates that a league is notably associated with or prominently represented by a particular bearer (such as a team, player, or entity).
-
D.
notableMedalSport
Indicates that the sport specified is the one in which the entity received a notable medal or award.
-
E.
notableAthleteFrom
Indicates that an athlete is notably associated with or originates from a particular place or region.
- F. None of above.
Provenance (1 batch)
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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:15 p.m.