Triple
T16318216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Bowyer |
E396224
|
entity |
| Predicate | laterRacingDiscipline |
P108046
|
FINISHED |
| Object | dirt track racing |
—
|
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: dirt track racing | Statement: [Clint Bowyer, laterRacingDiscipline, dirt track racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterRacingDiscipline Context triple: [Clint Bowyer, laterRacingDiscipline, dirt track racing]
-
A.
hasRacingDiscipline
chosen
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
B.
stageRaceType
Indicates the specific category or format of a multi-stage race within a broader competition or event.
-
C.
racingDivision
Indicates that one entity is classified into, or associated with, a particular racing division within a competitive racing context.
-
D.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
-
E.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.