Triple
T698806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleonic Italian lira |
E13951
|
entity |
| Predicate | obverseDesignOftenFeatured |
P8603
|
FINISHED |
| Object | portrait of Napoleon I |
—
|
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: portrait of Napoleon I | Statement: [Napoleonic Italian lira, obverseDesignOftenFeatured, portrait of Napoleon I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: obverseDesignOftenFeatured Context triple: [Napoleonic Italian lira, obverseDesignOftenFeatured, portrait of Napoleon I]
-
A.
obverseDepiction
chosen
Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
-
B.
badgeObverseDesign
Indicates the design or imagery that appears on the front (obverse) side of a badge.
-
C.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
-
D.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
-
E.
firstAppearanceOnUSCoin
Indicates the event or point in time when an entity is depicted for the first time on any official United States coin.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.