Triple
T1237003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion of Judah |
E26570
|
entity |
| Predicate | iconographicallyRepresentedAs |
P129
|
FINISHED |
| Object | lion with crown |
—
|
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: lion with crown | Statement: [Lion of Judah, iconographicallyRepresentedAs, lion with crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicallyRepresentedAs Context triple: [Lion of Judah, iconographicallyRepresentedAs, lion with crown]
-
A.
iconographicVariantOf
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
-
B.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
C.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
D.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
E.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf3f07c08190a402e8341c1f38cc |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.