Triple
T24448043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mercado de seguros de Chile |
E616456
|
entity |
| Predicate | monedaDeOperaciónPrincipal |
P71715
|
FINISHED |
| Object | peso chileno |
—
|
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: peso chileno | Statement: [mercado de seguros de Chile, monedaDeOperaciónPrincipal, peso chileno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monedaDeOperaciónPrincipal Context triple: [mercado de seguros de Chile, monedaDeOperaciónPrincipal, peso chileno]
-
A.
monetaryUnitOfAccount
chosen
Indicates that something serves as the standard unit in which the value of goods, services, and financial transactions is measured and recorded.
-
B.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
C.
monetarySystemType
Indicates the type or classification of a monetary system associated with an entity.
-
D.
currencyOfDenomination
Indicates that one currency unit is a specific denomination or face value within another currency system.
-
E.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
- F. None of above.
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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29855710c8190b13dd65f96fffd29 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.