Triple
T20158955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZF 6-speed automatic |
E491652
|
entity |
| Predicate | torqueConverter |
P34264
|
FINISHED |
| Object | lock-up torque converter |
—
|
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: lock-up torque converter | Statement: [ZF 6-speed automatic, torqueConverter, lock-up torque converter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torqueConverter Context triple: [ZF 6-speed automatic, torqueConverter, lock-up torque converter]
-
A.
torque
Indicates a rotational force applied by one entity on another around a pivot or axis.
-
B.
powertrainComponentOf
chosen
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
C.
clutchType
Indicates the type or category of clutch mechanism associated with or used by an entity.
-
D.
torqueDistribution
Indicates how torque or rotational force is apportioned among multiple components, such as wheels, axles, or motors, within a system.
-
E.
turbochargerType
Indicates the specific kind or classification of turbocharger associated with an engine or system.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.