Triple
T16181566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motor Trend Car of the Year |
E392693
|
entity |
| Predicate | hasLogoContext |
P36877
|
FINISHED |
| Object | often accompanied by a distinctive COTY badge in marketing materials |
—
|
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: often accompanied by a distinctive COTY badge in marketing materials | Statement: [Motor Trend Car of the Year, hasLogoContext, often accompanied by a distinctive COTY badge in marketing materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogoContext Context triple: [Motor Trend Car of the Year, hasLogoContext, often accompanied by a distinctive COTY badge in marketing materials]
-
A.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
B.
hasLogoShape
Indicates that an entity’s logo is characterized by or takes the form of a specified geometric or visual shape.
-
C.
hasOfficialLogo
Indicates that one entity is the formally recognized logo or emblem representing another entity.
-
D.
hasFormerLogo
Indicates that an entity is associated with a logo it used in the past but no longer uses.
-
E.
logoUsedIn
chosen
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.