Triple
T26515583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniil Kvyat |
E669802
|
entity |
| Predicate | podiumFinishAtGrandPrix |
P161021
|
FINISHED |
| Object | 2016 Chinese Grand Prix |
—
|
NE NERFINISHED |
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: 2016 Chinese Grand Prix | Statement: [Daniil Kvyat, podiumFinishAtGrandPrix, 2016 Chinese Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: podiumFinishAtGrandPrix Context triple: [Daniil Kvyat, podiumFinishAtGrandPrix, 2016 Chinese Grand Prix]
-
A.
podiumFinishAtGrandPrix
chosen
Indicates that an entity achieved a top-three (podium) finishing position at a specified Grand Prix event.
-
B.
podiumFinishesInMotoGP
Indicates that an entity achieved a top-three (podium) finishing position in a MotoGP race.
-
C.
grandTourPodium
Indicates that an entity achieved a top-three overall finish in a Grand Tour cycling race.
-
D.
totalFormulaOnePodiums
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
-
E.
finalGrandPrix
Indicates that a given Grand Prix event is the last one in a specified sequence, season, or career.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:23 a.m.