Triple
T35752426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Austrian Grand Prix |
E1033351
|
entity |
| Predicate | podiumDrivers |
P160776
|
FINISHED |
| Object | Lewis Hamilton |
—
|
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: Lewis Hamilton | Statement: [2016 Austrian Grand Prix, podiumDrivers, Lewis Hamilton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: podiumDrivers Context triple: [2016 Austrian Grand Prix, podiumDrivers, Lewis Hamilton]
-
A.
firstPodiumDriver
Indicates that the subject is the driver who achieved their first-ever podium finish in the referenced event or context.
-
B.
podiumDriver
chosen
Indicates that a driver finished a race in a position that earns a place on the podium (typically top three).
-
C.
grandTourPodium
Indicates that an entity achieved a top-three overall finish in a Grand Tour cycling race.
-
D.
polePositionDriverNationality
Indicates the nationality associated with the driver who secured pole position in a race.
-
E.
totalFormulaOnePodiums
Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.