Triple
T9575179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRL |
E231026
|
entity |
| Predicate | hasSingularFormOfCurrencyName |
P89897
|
FINISHED |
| Object | real |
—
|
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 | Statement: [BRL, hasSingularFormOfCurrencyName, real]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSingularFormOfCurrencyName Context triple: [BRL, hasSingularFormOfCurrencyName, real]
-
A.
currencyNickname
Indicates that one term is an informal or colloquial nickname used to refer to a particular currency.
-
B.
languageOfCurrencyName
Indicates the language in which a currency’s name is expressed.
-
C.
isUniqueWithinISO4217
Indicates that a currency-related value is unique and not duplicated within the set of ISO 4217 currency codes.
-
D.
currencyNameEnglish
Indicates the English-language name used to refer to a given currency.
-
E.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
- 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.