Triple
T26461747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Gasly |
E665656
|
entity |
| Predicate | firstFormulaOneEntry |
P82780
|
FINISHED |
| Object | 2017 Malaysian 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: 2017 Malaysian Grand Prix | Statement: [Pierre Gasly, firstFormulaOneEntry, 2017 Malaysian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFormulaOneEntry Context triple: [Pierre Gasly, firstFormulaOneEntry, 2017 Malaysian Grand Prix]
-
A.
firstUsedForFormulaOneWorldChampionship
Indicates that something (typically a circuit, track, or venue) was used for the first time in hosting a Formula One World Championship event.
-
B.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
C.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
D.
enteredFormulaOne
chosen
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
E.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 27, 2026, 12:13 a.m.