Triple
T31336877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-twin |
E799197
|
entity |
| Predicate | hasCoolingCharacteristic |
—
|
GENERATED |
| Object | front cylinder exposed to airflow |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoolingCharacteristic Context triple: [L-twin, hasCoolingCharacteristic, front cylinder exposed to airflow]
-
A.
hasAirCooling
chosen
Indicates that an entity is equipped with or utilizes an air-based cooling system.
-
B.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
C.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
D.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
E.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
- F. None of above.
Provenance (1 batch)
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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:16 p.m.