Triple
T30707201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkers Stadium |
E781784
|
entity |
| Predicate | sponsorBrandOf |
P82974
|
FINISHED |
| Object | potato crisps |
—
|
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: potato crisps | Statement: [Walkers Stadium, sponsorBrandOf, potato crisps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorBrandOf Context triple: [Walkers Stadium, sponsorBrandOf, potato crisps]
-
A.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
-
B.
sponsorshipBrand
chosen
Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
-
C.
sponsorProduct
Indicates that one entity financially supports or endorses a product, typically in exchange for promotion or association with that product.
-
D.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
E.
supportsBrand
Indicates that one entity endorses, promotes, or is compatible with a particular brand.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:35 p.m.