Triple
T14262202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TARGET2-Securities |
E353548
|
entity |
| Predicate | mainCurrency |
P11731
|
FINISHED |
| Object | euro |
—
|
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: euro | Statement: [TARGET2-Securities, mainCurrency, euro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCurrency Context triple: [TARGET2-Securities, mainCurrency, euro]
-
A.
mainCurrencyContext
Indicates that one currency is designated as the primary or reference currency within a given financial or transactional context.
-
B.
localCurrency
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
C.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
D.
currencyType
chosen
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de63563fc88190b0abdbf8529c65eb |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.