Triple
T15842889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Sutil |
E384139
|
entity |
| Predicate | podiumsInFormulaOne |
P52119
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Adrian Sutil, podiumsInFormulaOne, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: podiumsInFormulaOne Context triple: [Adrian Sutil, podiumsInFormulaOne, 1]
-
A.
podiums
Indicates that an entity finishes in a top-placed position (typically first, second, or third) in a competitive event.
-
B.
totalFormulaOnePodiums
chosen
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
-
C.
grandTourPodium
Indicates that an entity achieved a top-three overall finish in a Grand Tour cycling race.
-
D.
seasonPodiums
Indicates the set of podium (top-three) finishes an entity achieved over the course of a specific season.
-
E.
worldCupPodiums
Indicates that one entity has achieved podium (top-three) finishes in FIFA World Cup competitions, with the related entity specifying those podium results.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.