Triple
T20156519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conesa Department |
E491582
|
entity |
| Predicate | usesCurrency |
P188
|
FINISHED |
| Object | Argentine peso |
—
|
NE NERFINISHED |
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: Argentine peso | Statement: [Conesa Department, usesCurrency, Argentine peso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argentine peso Context triple: [Conesa Department, usesCurrency, Argentine peso]
-
A.
Argentine peso
chosen
The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
-
B.
Uruguayan peso
The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout the country.
-
C.
Paraguayan peso
The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
-
D.
Chilean peso
The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
-
E.
Mexican peso
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e0a0488190a25d92aaf300be4a |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.