Triple
T7815779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicente Fox |
E181003
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Coca-Cola Mexico |
E94658
|
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: Coca-Cola Mexico | Statement: [Vicente Fox, employer, Coca-Cola Mexico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coca-Cola Mexico Context triple: [Vicente Fox, employer, Coca-Cola Mexico]
-
A.
Coca-Cola FEMSA
chosen
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.
-
B.
Coca-Cola
Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
-
C.
Grupo Modelo
Grupo Modelo is a major Mexican brewery best known globally for producing popular beer brands such as Corona.
-
D.
Pepsi
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
-
E.
Coca-Cola Refreshments
Coca-Cola Refreshments is a major bottling and distribution subsidiary responsible for producing and delivering Coca-Cola beverages to retailers and consumers.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1488a2e48190924f44b46f925d87 |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:39 p.m.