Triple
T37384953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrón Highcroft Racing |
E928540
|
entity |
| Predicate | hasSponsorBranding |
P82974
|
FINISHED |
| Object | black and green Patrón livery |
—
|
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: black and green Patrón livery | Statement: [Patrón Highcroft Racing, hasSponsorBranding, black and green Patrón livery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSponsorBranding Context triple: [Patrón Highcroft Racing, hasSponsorBranding, black and green Patrón livery]
-
A.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
C.
sponsorshipBrandingSince
Indicates that one entity has been publicly branded or presented as sponsored by another entity starting from a specific point in time and continuing thereafter.
-
D.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
E.
sponsorshipBrand
chosen
Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: May 3, 2026, 4:16 p.m.