Triple
T38363299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chevy Showroom (appearances) |
E892354
|
entity |
| Predicate | hasCommercialSponsorType |
P2590
|
FINISHED |
| Object | automobile manufacturer |
—
|
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: automobile manufacturer | Statement: [The Chevy Showroom (appearances), hasCommercialSponsorType, automobile manufacturer]
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 (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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.