Triple
T7891811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AB InBev |
E183252
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | AmBev |
E696469
|
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: AmBev | Statement: [AB InBev, owns, AmBev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AmBev Context triple: [AB InBev, owns, AmBev]
-
A.
AmBev
chosen
AmBev is a major Brazilian brewing and beverage company that became a core part of the global beer giant AB InBev.
-
B.
AB InBev
AB InBev is a multinational beverage and brewing company headquartered in Belgium and one of the world’s largest beer producers, known for brands such as Budweiser, Stella Artois, and Corona.
-
C.
Monster Beverage Corporation
Monster Beverage Corporation is an American beverage company best known for producing and marketing Monster Energy drinks and other energy beverage brands worldwide.
-
D.
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.
-
E.
Molson Coors Beverage Company
Molson Coors Beverage Company is a major multinational brewing and beverage company known for producing and distributing a wide portfolio of beer brands across North America and Europe.
- 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_69cbdfc1b05481908af081f54bb1914d |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 5 p.m.