Triple
T37401009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1958 German Grand Prix |
E928994
|
entity |
| Predicate | debutedDriverTeam |
P128733
|
FINISHED |
| Object | Cooper |
—
|
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: Cooper | Statement: [1958 German Grand Prix, debutedDriverTeam, Cooper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutedDriverTeam Context triple: [1958 German Grand Prix, debutedDriverTeam, Cooper]
-
A.
debutedDriverCountry
Indicates the country that a driver was representing when they made their debut.
-
B.
debutTeamForDriverInCup
Indicates the team for which a driver made their debut appearance in a Cup series.
-
C.
debutDriver
Indicates the driver who made their first official appearance or start in a particular event, season, or competition.
-
D.
madeF1DebutForTeam
chosen
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
E.
debutedAsTeam
Indicates that an entity made its first official appearance or start in a particular context as a member of a specified team.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:16 p.m.