Triple
T2600969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavenly Kings Hall |
E58340
|
entity |
| Predicate | iconographicProgram |
P37076
|
FINISHED |
| Object | guardian kings holding symbolic weapons |
—
|
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: guardian kings holding symbolic weapons | Statement: [Heavenly Kings Hall, iconographicProgram, guardian kings holding symbolic weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicProgram Context triple: [Heavenly Kings Hall, iconographicProgram, guardian kings holding symbolic weapons]
-
A.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
D.
iconographicFunction
Indicates the symbolic or representational role that something serves within an image or visual composition.
-
E.
hasIconographicFigure
chosen
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4587014819089f78e93adf2144c |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.