Triple
T4923509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McGuinness |
E110520
|
entity |
| Predicate | racingDiscipline |
P56420
|
FINISHED |
| Object | Superbike |
—
|
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: Superbike | Statement: [John McGuinness, racingDiscipline, Superbike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingDiscipline Context triple: [John McGuinness, racingDiscipline, Superbike]
-
A.
styleOfRacing
chosen
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
B.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
C.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
D.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
E.
stageRaceType
Indicates the specific category or format of a multi-stage race within a broader competition or event.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffd46748190843fed99f02fd8d5 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.