Triple
T2266030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Florence |
E50147
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Florin |
E87198
|
NE 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: Florin | Statement: [Republic of Florence, currency, Florin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florin Context triple: [Republic of Florence, currency, Florin]
-
A.
Tuscan florin
chosen
The Tuscan florin was a historical gold coin used in Tuscany, influential in medieval European trade and finance.
-
B.
Neapolitan ducat
The Neapolitan ducat was a historical gold and later silver coin that served as the principal monetary unit of the Kingdom of Naples for several centuries.
-
C.
Lombardy–Venetia florin
The Lombardy–Venetia florin was a 19th-century currency used in the Kingdom of Lombardy–Venetia under Austrian rule before being superseded by the Italian lira.
-
D.
Gulden
The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
-
E.
Liège florin
The Liège florin was a historical gold coin used as a principal monetary unit in the Prince-Bishopric of Liège in what is now Belgium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18fff0c8190acd73d8db8a41cff |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d243608190bbfe5784fa06e26b |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.