Triple
T25556873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdvoCare V100 Texas Bowl |
E640594
|
entity |
| Predicate | sponsorProductCategory |
P101681
|
FINISHED |
| Object | sports nutrition products |
—
|
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: sports nutrition products | Statement: [AdvoCare V100 Texas Bowl, sponsorProductCategory, sports nutrition products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorProductCategory Context triple: [AdvoCare V100 Texas Bowl, sponsorProductCategory, sports nutrition products]
-
A.
sponsorProduct
chosen
Indicates that one entity financially supports or endorses a product, typically in exchange for promotion or association with that product.
-
B.
sponsorCategoryName
Indicates the classification label or category assigned to a sponsor in a given context.
-
C.
offersProductCategory
Indicates that a provider or seller makes products belonging to a specific product category available.
-
D.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
-
E.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8ca2cf48190997cd68875571217 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 3:40 p.m.