Triple
T6040710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RWF |
E134535
|
entity |
| Predicate | currencyNameInKinyarwanda |
P68327
|
FINISHED |
| Object | ifaranga ry’u Rwanda |
—
|
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: ifaranga ry’u Rwanda | Statement: [RWF, currencyNameInKinyarwanda, ifaranga ry’u Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyNameInKinyarwanda Context triple: [RWF, currencyNameInKinyarwanda, ifaranga ry’u Rwanda]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
-
C.
currencyNameEnglish
Indicates the English-language name used to refer to a given currency.
-
D.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
E.
currencySignAdopted
Indicates that a particular currency sign has been officially adopted for use with a given currency or monetary system.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cf82d481909d5161fe3643e7ed |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.