Triple
T8825642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škoda Enyaq iV |
E210006
|
entity |
| Predicate | numberOfAxlesDriven |
P84837
|
FINISHED |
| Object | 1 or 2 depending on variant |
—
|
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: 1 or 2 depending on variant | Statement: [Škoda Enyaq iV, numberOfAxlesDriven, 1 or 2 depending on variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAxlesDriven Context triple: [Škoda Enyaq iV, numberOfAxlesDriven, 1 or 2 depending on variant]
-
A.
numberOfRoadWheelsPerSide
Indicates the count of road wheels present on each side of a vehicle or similar wheeled system.
-
B.
numberOfWheels
Indicates the quantity of wheels that an entity possesses or is associated with.
-
C.
wheelCount
Indicates the number of wheels associated with a given entity.
-
D.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
E.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
- F. None of above. chosen
Provenance (4 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc60332d208190972a8b03fbd760ee |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.