Triple
T7891808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AB InBev |
E183252
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Grupo Modelo |
E642744
|
NE 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: Grupo Modelo | Statement: [AB InBev, acquired, Grupo Modelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grupo Modelo Context triple: [AB InBev, acquired, Grupo Modelo]
-
A.
Grupo Modelo
chosen
Grupo Modelo is a major Mexican brewery best known globally for producing popular beer brands such as Corona.
-
B.
Coca-Cola FEMSA
Coca-Cola FEMSA is the largest franchise bottler of Coca-Cola products in the world, operating extensive beverage production and distribution networks across Latin America and parts of Asia.
-
C.
FEMSA
FEMSA is a large Mexican multinational company best known for its beverage, retail, and logistics operations, including major stakes in Coca-Cola bottling and the OXXO convenience store chain.
-
D.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
-
E.
Diageo
Diageo is a multinational alcoholic beverages company headquartered in London, known for owning major global brands such as Guinness, Johnnie Walker, and Smirnoff.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.