Triple
T35780543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari Land |
E1034424
|
entity |
| Predicate | brandLicensor |
P78085
|
FINISHED |
| Object | Ferrari S.p.A. |
—
|
NE NERFINISHED |
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: Ferrari S.p.A. | Statement: [Ferrari Land, brandLicensor, Ferrari S.p.A.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandLicensor Context triple: [Ferrari Land, brandLicensor, Ferrari S.p.A.]
-
A.
brandLicenseFrom
chosen
Indicates that one entity holds a licensed right to use the brand owned or controlled by another entity.
-
B.
brandEndorsement
Indicates that one entity publicly supports, recommends, or promotes another entity’s brand, product, or service.
-
C.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
D.
brandAssociationType
Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
-
E.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1feb5a48190bfc05dd6110ef41f |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.