Triple
T6040709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RWF |
E134535
|
entity |
| Predicate | currencyNameInFrench |
P68326
|
FINISHED |
| Object | franc rwandais |
—
|
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: franc rwandais | Statement: [RWF, currencyNameInFrench, franc rwandais]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyNameInFrench Context triple: [RWF, currencyNameInFrench, franc rwandais]
-
A.
languageOfCurrencyName
Indicates the language in which a currency’s name is expressed.
-
B.
currencyNameEnglish
Indicates the English-language name used to refer to a given currency.
-
C.
currencyNameSpanish
Indicates the name of a currency expressed in the Spanish language.
-
D.
currencyNameLocalScript
Indicates that a currency’s name is given in the local or native writing system of the region where it is used.
-
E.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
- 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.