Triple
T10200284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rentenmark reform of 1923 |
E238864
|
entity |
| Predicate | maximumRentenmarkIssue |
P92669
|
FINISHED |
| Object | 3.2 billion Rentenmark |
—
|
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: 3.2 billion Rentenmark | Statement: [Rentenmark reform of 1923, maximumRentenmarkIssue, 3.2 billion Rentenmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRentenmarkIssue Context triple: [Rentenmark reform of 1923, maximumRentenmarkIssue, 3.2 billion Rentenmark]
-
A.
startOfUseAsSoleGermanCurrency
Indicates the point in time when something first began to be used as the only official currency in Germany.
-
B.
exchangeRateToPapiermark
Indicates the conversion rate or value of one currency in terms of the Papiermark.
-
C.
issuesBanknotes
Indicates that an entity (typically a central bank or monetary authority) produces and puts banknotes into official circulation as legal tender.
-
D.
mintMarkUsedOn
Indicates that a particular mint mark was applied to or appears on a specific coin or numismatic item.
-
E.
fractionalBanknotesIntroduced
Indicates that smaller-denomination banknotes, representing fractions of a base currency unit, have been officially introduced into circulation.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:14 p.m.