Triple
T9575151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRL |
E231026
|
entity |
| Predicate | currencyNameLocal |
P89895
|
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: [BRL, currencyNameLocal, real brasileiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyNameLocal Context triple: [BRL, currencyNameLocal, real brasileiro]
-
A.
currencyNameLocalScript
Indicates that a currency’s name is given in the local or native writing system of the region where it is used.
-
B.
localCurrency
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
C.
currencyNameInFrench
Indicates the French-language name used to refer to a given currency.
-
D.
currencyNameEnglish
Indicates the English-language name used to refer to a given currency.
-
E.
languageOfCurrencyName
Indicates the language in which a currency’s name is expressed.
- F. None of above. chosen
Provenance (4 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aa964c8190a50717edff30f10b |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:05 p.m.