Triple
T19869392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apasmara |
E477471
|
entity |
| Predicate | iconographicLocation |
P57195
|
FINISHED |
| Object | beneath Shiva’s dancing foot |
—
|
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: beneath Shiva’s dancing foot | Statement: [Apasmara, iconographicLocation, beneath Shiva’s dancing foot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicLocation Context triple: [Apasmara, iconographicLocation, beneath Shiva’s dancing foot]
-
A.
iconographyLocation
Indicates the place or spatial context where a particular iconographic element or visual motif is depicted or situated.
-
B.
iconographicPosition
chosen
Indicates the relative placement or arrangement of elements within an image or visual composition, specifying where something appears in the iconographic layout.
-
C.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
D.
iconographicSource
Indicates that one entity serves as the visual or symbolic source, model, or reference for the iconography or imagery of another entity.
-
E.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a2cc8481908d134b0b5cf79d06 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.