Triple
T12802610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German mark |
E306058
|
entity |
| Predicate | cashReplacedBy |
P2867
|
FINISHED |
| Object | euro banknotes and coins in 2002 |
—
|
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 banknotes and coins in 2002 | Statement: [German mark, cashReplacedBy, euro banknotes and coins in 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cashReplacedBy Context triple: [German mark, cashReplacedBy, euro banknotes and coins in 2002]
-
A.
replacedCurrency
chosen
Indicates that one currency has been superseded and no longer used because another currency has taken its place.
-
B.
replacedCurrencyName
Indicates that one currency has been superseded and taken the place of another as the official or primary monetary unit.
-
C.
denominationChange
Indicates a change in the monetary unit or face value associated with an entity, such as when currency or financial instruments are converted from one denomination to another.
-
D.
replacedCurrencyCode
Indicates that one currency has been superseded or replaced by another currency, identified by its code.
-
E.
notPhysicalCash
Indicates that the transaction, payment, or value transfer does not involve tangible paper money or coins, but instead uses non-cash forms such as digital, electronic, or other non-physical means.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.