Triple
T23952061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Championship Car Racing |
E603072
|
entity |
| Predicate | vehicleEnginePosition |
P22132
|
FINISHED |
| Object | mid-engine layout (modern era) |
—
|
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: mid-engine layout (modern era) | Statement: [American Championship Car Racing, vehicleEnginePosition, mid-engine layout (modern era)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleEnginePosition Context triple: [American Championship Car Racing, vehicleEnginePosition, mid-engine layout (modern era)]
-
A.
steeringWheelPosition
Indicates the relative location or orientation of a steering wheel with respect to a reference point, such as a vehicle’s interior layout or driving side.
-
B.
exhaustPosition
Indicates the spatial location or configuration of an exhaust outlet relative to the object it belongs to.
-
C.
electricMotorPosition
Indicates the rotational position or angle of an electric motor at a given moment.
-
D.
enginePlacement
chosen
Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
-
E.
wheelDrivePosition
Indicates the position or configuration of the drive mechanism relative to the vehicle’s wheels (e.g., front-, rear-, or all-wheel drive).
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d48bc881909d58d258757e67ad |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:20 p.m.