Triple
T16690559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Soviet dollar |
E405581
|
entity |
| Predicate | monetaryStatus |
P124261
|
FINISHED |
| Object | non-convertible outside Soviet areas |
—
|
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: non-convertible outside Soviet areas | Statement: [Chinese Soviet dollar, monetaryStatus, non-convertible outside Soviet areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryStatus Context triple: [Chinese Soviet dollar, monetaryStatus, non-convertible outside Soviet areas]
-
A.
statusCurrency
Indicates that a particular status or state is expressed, measured, or denominated in a specific currency.
-
B.
monetaryComponent
Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
-
C.
hasFinancialStatus
Indicates that an entity possesses or is characterized by a particular financial condition, standing, or level of economic well-being.
-
D.
monetaryFunction
Indicates a relationship where something serves a financial role, such as handling, managing, or affecting money or economic value.
-
E.
hasMonetaryComponent
Indicates that something includes, involves, or is associated with a monetary or financial element.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.