Triple
T10304583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostmark |
E241717
|
entity |
| Predicate | blackMarketExchangeRateToDeutscheMark |
P35646
|
FINISHED |
| Object | significantly below official rate |
—
|
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: significantly below official rate | Statement: [Ostmark, blackMarketExchangeRateToDeutscheMark, significantly below official rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blackMarketExchangeRateToDeutscheMark Context triple: [Ostmark, blackMarketExchangeRateToDeutscheMark, significantly below official rate]
-
A.
exchangeRateToPapiermark
Indicates the conversion rate or value of one currency in terms of the Papiermark.
-
B.
blackMarketExchangeRate
chosen
Indicates the exchange rate between two currencies as determined by unofficial or illegal (black market) trading rather than the official or government-sanctioned rate.
-
C.
fixedExchangeRateToDEM
Indicates that the value of one currency is pegged at a fixed exchange rate relative to the German Deutsche Mark (DEM).
-
D.
exchangeRateAtDollarization
Indicates the exchange rate that was in effect at the time a currency or economy underwent dollarization.
-
E.
currencyExchangeRate
Indicates the rate at which one currency can be exchanged for another.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:45 a.m.