Triple
T30142488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wordmark quattro |
E766165
|
entity |
| Predicate | representsFeature |
P151214
|
FINISHED |
| Object | all-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 | Statement: [wordmark quattro, representsFeature, all-wheel drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsFeature Context triple: [wordmark quattro, representsFeature, all-wheel drive]
-
A.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
B.
featuresRepresentationOf
chosen
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another entity.
-
C.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
D.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
E.
namedForFeature
Indicates that one entity is named after, or derives its name from, a particular feature or characteristic of another entity.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 29, 2026, 7:18 p.m.