Triple
T1469061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuela |
E27092
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Venezuelan bolívar |
E98922
|
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: Venezuelan bolívar | Statement: [Venezuela, currency, Venezuelan bolívar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venezuelan bolívar Context triple: [Venezuela, currency, Venezuelan bolívar]
-
A.
Venezuelan bolívar
chosen
The Venezuelan bolívar is the official fiat currency of Venezuela, historically affected by high inflation and multiple redenominations.
-
B.
Colombian peso
The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
-
C.
Cuban peso
The Cuban peso is the official monetary unit of Cuba, used primarily for domestic transactions and issued by the Central Bank of Cuba.
-
D.
Chilean peso
The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
-
E.
Dominican peso
The Dominican peso is the official monetary unit of the Dominican Republic, used for all everyday transactions and financial operations in 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d8bb68819095b7b413247ad657 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a4d4b48190bda15e333f7efd7f |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:01 p.m.