Triple
T4994727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dunlop |
E112216
|
entity |
| Predicate | notableRaceDiscipline |
P56021
|
FINISHED |
| Object | real road 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: real road racing | Statement: [Michael Dunlop, notableRaceDiscipline, real road racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRaceDiscipline Context triple: [Michael Dunlop, notableRaceDiscipline, real road racing]
-
A.
notableRaceStyle
chosen
Indicates that an entity is particularly recognized for competing in, specializing in, or being associated with a specific style or category of racing.
-
B.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
C.
notableRaceClass
Indicates that there exists a notable race or competition of a particular class or category associated with the subject.
-
D.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
E.
notableRacingVariant
Indicates that one entity is a particularly recognized or distinguished racing-specific version or trim of another entity.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.