Triple
T32764932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguyen Xi Street |
E837863
|
entity |
| Predicate | currencyOfArea |
P18115
|
FINISHED |
| Object | Vietnamese đồng (VND) |
—
|
NE NERFINISHED |
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: Vietnamese đồng (VND) | Statement: [Nguyen Xi Street, currencyOfArea, Vietnamese đồng (VND)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfArea Context triple: [Nguyen Xi Street, currencyOfArea, Vietnamese đồng (VND)]
-
A.
currencyArea
chosen
Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
-
B.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
-
C.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
-
D.
localCurrency
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
E.
currencyContext
Indicates that a particular monetary value or transaction is expressed, interpreted, or valid within a specified currency framework or setting.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 1, 2026, 1:13 a.m.