Triple
T6681553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian lari |
E151993
|
entity |
| Predicate | usesLanguageOnBanknotes |
P517
|
FINISHED |
| Object | Georgian |
—
|
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: Georgian | Statement: [Georgian lari, usesLanguageOnBanknotes, Georgian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLanguageOnBanknotes Context triple: [Georgian lari, usesLanguageOnBanknotes, Georgian]
-
A.
languageOnBanknotes
chosen
Indicates the language that is printed or used on a country's banknotes.
-
B.
isDenominatedInLanguage
Indicates that something is expressed, named, or designated using a particular language.
-
C.
hasFeatureOnBanknotes
Indicates that a particular feature, such as a design element or security mark, appears on one or more banknotes.
-
D.
hasScriptOnBanknotes
Indicates that a currency’s banknotes contain written or printed script on them.
-
E.
frequentlyUsedBanknotes
Indicates that the referenced banknotes are commonly or regularly used in transactions within a given context or system.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.