Triple
T13291624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaguar XJ220 |
E316571
|
entity |
| Predicate | productionDrivetrainChangeFromConcept |
P102522
|
FINISHED |
| Object | all-wheel drive replaced by rear-wheel drive |
—
|
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: all-wheel drive replaced by rear-wheel drive | Statement: [Jaguar XJ220, productionDrivetrainChangeFromConcept, all-wheel drive replaced by rear-wheel drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionDrivetrainChangeFromConcept Context triple: [Jaguar XJ220, productionDrivetrainChangeFromConcept, all-wheel drive replaced by rear-wheel drive]
-
A.
drivetrainChangeDescription
chosen
Indicates a description of a modification or change made to a vehicle’s drivetrain system.
-
B.
powertrainProduction
Indicates a relationship where an entity is involved in the manufacturing or assembly of a vehicle’s powertrain components.
-
C.
drivetrainConfigurationProduced
Indicates that a particular drivetrain configuration has been produced or manufactured.
-
D.
drivetrainChangeYear
Indicates the year in which a vehicle’s drivetrain configuration was changed or updated.
-
E.
engineChanges
Indicates that an entity undergoes a modification or replacement of its engine.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.