Triple
T22580165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desafío Corona |
E544543
|
entity |
| Predicate | associatedBrandMarket |
P148808
|
FINISHED |
| Object | Mexican beer market |
—
|
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: Mexican beer market | Statement: [Desafío Corona, associatedBrandMarket, Mexican beer market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBrandMarket Context triple: [Desafío Corona, associatedBrandMarket, Mexican beer market]
-
A.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
B.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
C.
associatedBrandCollection
Indicates a relationship where one or more brands are grouped or linked together as part of a specific collection.
-
D.
distributedBrand
Indicates that one entity serves as a distributor or reseller for the brand of another entity.
-
E.
referencesBrand
Indicates that one entity mentions, cites, or otherwise refers to a specific brand in its content or context.
- F. None of above. chosen
Provenance (4 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff065308190bca9fb24b47757e6 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:53 p.m.