Triple
T37401083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper Car Company |
E928996
|
entity |
| Predicate | firstWorldDriversTitleYear |
P146171
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Cooper Car Company, firstWorldDriversTitleYear, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldDriversTitleYear Context triple: [Cooper Car Company, firstWorldDriversTitleYear, 1959]
-
A.
secondWorldDriversTitleYear
Indicates the year in which an entity won their second World Drivers' Championship title.
-
B.
wonDriversTitleFor
Indicates that one entity secured the drivers’ championship title while competing for, or representing, another entity.
-
C.
FormulaOneWorldChampionYear
chosen
Indicates the specific year in which an entity held the title of Formula One World Champion.
-
D.
firstWinningDrivers
Indicates the relationship where certain drivers are the first to achieve a race victory within a given context (such as a series, season, team, or event).
-
E.
wonDriversTitleIn
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
- 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_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.