Triple
T37401056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1959 United States Grand Prix |
E928995
|
entity |
| Predicate | hostedWorldDriversChampionDecider |
P188317
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1959 United States Grand Prix, hostedWorldDriversChampionDecider, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedWorldDriversChampionDecider Context triple: [1959 United States Grand Prix, hostedWorldDriversChampionDecider, true]
-
A.
coDriversChampion
Indicates that the subject was the co-driver who won the championship alongside a primary driver in a given motorsport series or season.
-
B.
driversChampionWins
Indicates the number of championship titles won by a particular driver.
-
C.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
D.
worldChampionshipsOrganiser
Indicates that the subject is responsible for organizing or managing world championship events for the object.
-
E.
hostNationDrivers
Indicates that the drivers are representing or originating from the nation that is hosting the event or competition.
- F. None of above. chosen
Provenance (4 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_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:16 p.m.