Triple
T16806459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regal Sportback |
E408493
|
entity |
| Predicate | hasMarketingEmphasis |
P85034
|
FINISHED |
| Object | sporty styling |
—
|
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: sporty styling | Statement: [Regal Sportback, hasMarketingEmphasis, sporty styling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketingEmphasis Context triple: [Regal Sportback, hasMarketingEmphasis, sporty styling]
-
A.
hasMarketingCategory
Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
-
B.
hasMarketingElement
chosen
Indicates that one entity includes, is associated with, or makes use of a particular marketing-related component or feature.
-
C.
hasMarketingTheme
Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
-
D.
hasMarketingTarget
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
-
E.
hasMarketingIcon
Indicates that an entity is associated with, or represented by, a specific marketing-related icon or symbol.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cd1e8c8190a7a05ba255f711c7 |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:22 a.m.