Triple
T26461698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 Austrian Grand Prix |
E665655
|
entity |
| Predicate | grandPrixNumberInSeason |
P120082
|
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: [2020 Austrian Grand Prix, grandPrixNumberInSeason, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandPrixNumberInSeason Context triple: [2020 Austrian Grand Prix, grandPrixNumberInSeason, 1]
-
A.
raceNumberInSeason
chosen
Indicates the ordinal position of a specific race within the sequence of races in a given season.
-
B.
F1Seasons
Indicates the seasons in which a given Formula 1 entity (such as a driver, team, or event) participated or was active.
-
C.
grandPrixNumberInHistory
Indicates the ordinal position of a particular Grand Prix within the overall historical sequence of all Grand Prix events.
-
D.
grandPrixName
Indicates the official name assigned to a particular Grand Prix event.
-
E.
franchiseSeasonNumber
Indicates the specific season number assigned to an installment within a larger franchise series.
- 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_69f612956424819083b0e451342a5811 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:13 a.m.