Triple
T38634134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahapana |
E937533
|
entity |
| Predicate | coinLegendFeature |
P99871
|
FINISHED |
| Object | Greek legend on obverse |
—
|
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: Greek legend on obverse | Statement: [Nahapana, coinLegendFeature, Greek legend on obverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinLegendFeature Context triple: [Nahapana, coinLegendFeature, Greek legend on obverse]
-
A.
coinLegendTitle
Indicates the text used as the title or heading in the legend or key associated with a coin.
-
B.
coinCharacteristic
Indicates that a coin possesses a particular attribute, feature, or quality.
-
C.
coinageRarity
Indicates the relative scarcity or commonness of a particular coinage within its issuing context.
-
D.
coinIconography
Indicates the relationship between a coin and the imagery, symbols, or designs depicted on its surface.
-
E.
coinageFeature
chosen
Indicates a characteristic, design element, or attribute that is present on or associated with a particular coin or type of coinage.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.