Triple
T37401037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1959 United States Grand Prix |
E928995
|
entity |
| Predicate | poleDriverCountry |
P77652
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [1959 United States Grand Prix, poleDriverCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poleDriverCountry Context triple: [1959 United States Grand Prix, poleDriverCountry, United Kingdom]
-
A.
coDriversChampionNationality
Indicates the nationality of the co-driver who won the championship.
-
B.
poleDriver
Indicates that an entity is the driver who achieved pole position (fastest qualifying time) in a motorsport event.
-
C.
polePositionDriverNationality
chosen
Indicates the nationality associated with the driver who secured pole position in a race.
-
D.
countryOfRacing
Indicates the country in which a racing event, activity, or affiliation takes place or is officially registered.
-
E.
coDriversChampion
Indicates that the subject was the co-driver who won the championship alongside a primary driver in a given motorsport series 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_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.