Triple
T37704932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azes II |
E939173
|
entity |
| Predicate | iconographyOnCoins |
P38641
|
FINISHED |
| Object | king on horseback |
—
|
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: king on horseback | Statement: [Azes II, iconographyOnCoins, king on horseback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographyOnCoins Context triple: [Azes II, iconographyOnCoins, king on horseback]
-
A.
coinIconography
chosen
Indicates the relationship between a coin and the imagery, symbols, or designs depicted on its surface.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
depictedOnCoinReverse
Indicates that an entity is shown or represented on the reverse (back) side of a coin.
-
D.
monarchOnCoin
Indicates that a particular monarch is depicted or featured on a specific coin.
-
E.
coinageAttributedTo
Indicates that the creation or origination of a particular coinage (such as a term, phrase, or monetary unit) is attributed to a specific agent or source.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.