Triple
T33838201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siliqua |
E867291
|
entity |
| Predicate | usedAsCurrencyBy |
P2878
|
FINISHED |
| Object | Kingdom of the Suebi |
—
|
NE NERFINISHED |
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: Kingdom of the Suebi | Statement: [siliqua, usedAsCurrencyBy, Kingdom of the Suebi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsCurrencyBy Context triple: [siliqua, usedAsCurrencyBy, Kingdom of the Suebi]
-
A.
usedAsCurrency
Indicates that something functions as money or a medium of exchange within an economic system.
-
B.
hasCurrencyUsedInManyCountries
Indicates that a currency is officially used as legal tender in multiple countries.
-
C.
colonialCurrencyOf
Indicates that one entity functioned as the official or primary currency used in a territory while it was under colonial rule by another entity.
-
D.
isLegalTenderFor
chosen
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
-
E.
denominationCountry
Indicates the country with which a particular denomination (such as a currency or religious denomination) is officially associated or recognized.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 1:47 a.m.