Triple
T5755287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill France Sr. |
E126949
|
entity |
| Predicate | MotorsportsHallOfFameOfAmericaClass |
P5821
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Bill France Sr., MotorsportsHallOfFameOfAmericaClass, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MotorsportsHallOfFameOfAmericaClass Context triple: [Bill France Sr., MotorsportsHallOfFameOfAmericaClass, 1990]
-
A.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
B.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
C.
inducteeCategory
chosen
Indicates the classification or type of group into which an entity is being formally inducted.
-
D.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
E.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.