Triple
T32395637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Peró |
E827797
|
entity |
| Predicate | moedaDaRegião |
P18115
|
FINISHED |
| Object | real brasileiro |
—
|
LITERAL 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: real brasileiro | Statement: [Praia do Peró, moedaDaRegião, real brasileiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moedaDaRegião Context triple: [Praia do Peró, moedaDaRegião, real brasileiro]
-
A.
currencyArea
chosen
Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
-
B.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
-
C.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
-
D.
currencySignAdopted
Indicates that a particular currency sign has been officially adopted for use with a given currency or monetary system.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2149dbc81908e5069cd30a3f3da |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:52 a.m.