Triple
T38363299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chevy Showroom (appearances) |
E892354
|
entity |
| Predicate | hasCommercialSponsorType |
—
|
GENERATED |
| Object | automobile manufacturer |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialSponsorType Context triple: [The Chevy Showroom (appearances), hasCommercialSponsorType, automobile manufacturer]
-
A.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
B.
hasFictionalSponsor
Indicates that an entity is sponsored or endorsed by a sponsor that is fictional rather than real.
-
C.
includesSponsorship
Indicates that one entity’s involvement, agreement, or arrangement explicitly involves sponsorship provided by another entity.
-
D.
hasTitleSponsor
Indicates that one entity serves as the primary (title) sponsor for another entity, typically giving its name to the sponsored event, organization, or property.
-
E.
sponsorType
chosen
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
- F. None of above.
Provenance (1 batch)
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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.