Triple
T1886275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škoda |
E39971
|
entity |
| Predicate | brandPositionWithinVolkswagenGroup |
P5254
|
FINISHED |
| Object | value-oriented brand |
—
|
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: value-oriented brand | Statement: [Škoda, brandPositionWithinVolkswagenGroup, value-oriented brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandPositionWithinVolkswagenGroup Context triple: [Škoda, brandPositionWithinVolkswagenGroup, value-oriented brand]
-
A.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
B.
brandPositioning
chosen
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
C.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
-
D.
positionOnFranchise
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb12032c881909cd93e3601906f48 |
completed | March 7, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69abafe61bc48190ac9ead027df930e1 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.