Triple
T37384988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extreme Speed Motorsports |
E928541
|
entity |
| Predicate | categoryRaced |
P80790
|
FINISHED |
| Object | GT |
—
|
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: GT | Statement: [Extreme Speed Motorsports, categoryRaced, GT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryRaced Context triple: [Extreme Speed Motorsports, categoryRaced, GT]
-
A.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
B.
racingDivision
chosen
Indicates that one entity is classified into, or associated with, a particular racing division within a competitive racing context.
-
C.
raceName
Indicates the specific race or competition designation associated with an entity or event.
-
D.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
E.
vehicleRaced
Indicates that one vehicle participated in a race or competitive speed event against another vehicle.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.