Triple
T29034230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Giovinazzi |
E737808
|
entity |
| Predicate | bestFormulaOneRaceFinish |
P82783
|
FINISHED |
| Object | 5th place |
—
|
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: 5th place | Statement: [Antonio Giovinazzi, bestFormulaOneRaceFinish, 5th place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFormulaOneRaceFinish Context triple: [Antonio Giovinazzi, bestFormulaOneRaceFinish, 5th place]
-
A.
bestFormulaOneChampionshipPosition
Indicates the highest (best) finishing position an entity has ever achieved in a Formula One World Championship season.
-
B.
bestRaceFinishPositionAchievedByDriver
chosen
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
-
C.
bestF1ResultGrandPrix
Indicates the Grand Prix at which an entity achieved its best-ever F1 race result.
-
D.
bestFormulaOneChampionshipSeason
Indicates that, among all Formula One championship seasons associated with an entity (typically a driver or team), this specific season is considered their best or most outstanding.
-
E.
enteredFormulaOne
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603be0cc8190ba34acec15092a98 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:57 a.m.