Triple
T4234449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola FEMSA |
E94658
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Mexican peso |
E2692
|
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: Mexican peso | Statement: [Coca-Cola FEMSA, currency, Mexican peso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexican peso Context triple: [Coca-Cola FEMSA, currency, Mexican peso]
-
A.
Mexican peso
chosen
The Mexican peso is Mexico's official national currency and one of the most traded currencies in the world, widely used in international foreign exchange markets.
-
B.
Colombian escudo
The Colombian escudo was a historical currency of Colombia used primarily during the colonial and early republican periods before being replaced by the Colombian peso.
-
C.
Chilean peso
The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
-
D.
Argentine peso
The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
-
E.
Colombian peso
The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e6705548190b695b3789d713b4a |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a8630a4481909b9835aad51614b2 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.