Triple
T26163707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rams Global |
E654185
|
entity |
| Predicate | brandingRights |
P28770
|
FINISHED |
| Object | Rams Park naming rights |
—
|
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: Rams Park naming rights | Statement: [Rams Global, brandingRights, Rams Park naming rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingRights Context triple: [Rams Global, brandingRights, Rams Park naming rights]
-
A.
brandingAuthority
Indicates that one entity has the recognized power or right to define, control, or approve the branding (name, logo, identity, or brand usage) of another entity or product.
-
B.
namingRightsBrand
chosen
Indicates that a brand holds the official naming rights for a venue, event, or property.
-
C.
trademark
Indicates that one entity legally owns and uses a distinctive sign, name, or symbol to identify and distinguish its goods or services from those of others.
-
D.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
-
E.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c3d50208190ab0749009f70ffff |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:31 p.m.