Triple
T1304646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese đồng |
E27845
|
entity |
| Predicate | highDenominationBanknotes |
P2871
|
FINISHED |
| Object | 500000 đồng |
—
|
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: 500000 đồng | Statement: [Vietnamese đồng, highDenominationBanknotes, 500000 đồng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highDenominationBanknotes Context triple: [Vietnamese đồng, highDenominationBanknotes, 500000 đồng]
-
A.
frequentlyUsedBanknotes
Indicates that the referenced banknotes are commonly or regularly used in transactions within a given context or system.
-
B.
banknoteDenomination
chosen
Indicates the specific face value assigned to a banknote in a given currency.
-
C.
hasBanknotes
Indicates that an entity possesses or contains one or more banknotes.
-
D.
typeOfBanknotes
Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
-
E.
higherDenomination
Indicates that one entity represents a monetary value that is greater than the monetary value represented by another entity.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13393388190b784d6bd8c447dda |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.