Triple
T20721566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buick CXL |
E509325
|
entity |
| Predicate | associatedWithBrandImage |
P5262
|
FINISHED |
| Object | premium comfort |
—
|
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: premium comfort | Statement: [Buick CXL, associatedWithBrandImage, premium comfort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBrandImage Context triple: [Buick CXL, associatedWithBrandImage, premium comfort]
-
A.
associatedWithCityBranding
Indicates a relationship where something is connected to, involved in, or contributes to the branding or promotional identity of a city.
-
B.
brandImage
chosen
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
C.
associatedWithMediaImage
Indicates a relationship where an entity is linked or connected to a specific media image, such as a photo, illustration, or graphic file.
-
D.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
E.
brandAssociationType
Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d6bdcc8190ba42c44159a2c0d5 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:27 p.m.