Triple
T6681566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian lari |
E151993
|
entity |
| Predicate | denominationSubunit |
P2872
|
FINISHED |
| Object | 1, 2, 5, 10, 20, 50 tetri |
—
|
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: 1, 2, 5, 10, 20, 50 tetri | Statement: [Georgian lari, denominationSubunit, 1, 2, 5, 10, 20, 50 tetri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationSubunit Context triple: [Georgian lari, denominationSubunit, 1, 2, 5, 10, 20, 50 tetri]
-
A.
currencySubunitOf
Indicates that a monetary subunit (such as cents) is a fractional unit belonging to and defined in terms of a larger base currency.
-
B.
officialCurrencySubunitOf
Indicates that one unit represents the official fractional subunit (e.g., cents to a dollar) of a specified currency.
-
C.
minorDenomination
Indicates that one entity is a smaller or subordinate unit of currency or value in relation to another entity.
-
D.
coinDenomination
chosen
Indicates the specific monetary value assigned to a coin within a currency system.
-
E.
nonDecimalSubunit
Indicates that a monetary unit has a smaller, subordinate unit that is not based on a decimal (base-10) subdivision.
- 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.