Triple
T1474490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonora |
E30806
|
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: [Sonora, currency, Mexican peso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexican peso Context triple: [Sonora, 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.
Chilean peso
The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
-
C.
Colombian peso
The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
-
D.
Spanish dollar
The Spanish dollar was a widely circulated silver coin that became a de facto global currency from the 16th to 19th centuries, heavily used in international trade across Europe, the Americas, and Asia.
-
E.
Peruvian sol
The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6011d248190988380eca4ecf514 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a98b4c819082bd7aa8e0c82de9 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.