Triple
T9604469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaballathus |
E231933
|
entity |
| Predicate | laterCoinageStyle |
P89193
|
FINISHED |
| Object | assumes imperial titles on coin legends |
—
|
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: assumes imperial titles on coin legends | Statement: [Vaballathus, laterCoinageStyle, assumes imperial titles on coin legends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCoinageStyle Context triple: [Vaballathus, laterCoinageStyle, assumes imperial titles on coin legends]
-
A.
typeOfCoinageReform
Indicates a relationship where a specific reform is classified by the particular type or category of coinage reform it represents.
-
B.
coinageDate
Indicates the date or time period when a coin (or currency unit) was first minted or officially issued.
-
C.
coinageType
Indicates the specific type or category of coinage associated with an entity, such as its denomination, series, or monetary classification.
-
D.
mediumOfCoinage
Indicates the material or substance used as the physical medium in which a coin or form of money is produced.
-
E.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:08 p.m.