Triple
T16095213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreuzer |
E390463
|
entity |
| Predicate | valueRelativeToFlorin |
P121876
|
FINISHED |
| Object | 60 kreuzer = 1 florin |
—
|
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: 60 kreuzer = 1 florin | Statement: [Kreuzer, valueRelativeToFlorin, 60 kreuzer = 1 florin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueRelativeToFlorin Context triple: [Kreuzer, valueRelativeToFlorin, 60 kreuzer = 1 florin]
-
A.
valueRelativeToGuilder
Indicates that something’s value is expressed in terms of, or compared relative to, the guilder currency.
-
B.
valueInFrancs
Indicates that a specified monetary amount is expressed or measured in French francs.
-
C.
valueRelativeToAkçe
Indicates the value of something expressed in terms of, or relative to, the akçe monetary unit.
-
D.
valueInCents
Indicates that one entity specifies the monetary value of another entity expressed in cents.
-
E.
valueRelativeToMainUnit
Indicates how a value is expressed in relation to a primary or reference unit, such as a main measurement or base quantity.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.