Triple
T21856869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annapurna |
E539650
|
entity |
| Predicate | iconographyAttribute |
P8270
|
FINISHED |
| Object | pot of food |
—
|
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: pot of food | Statement: [Annapurna, iconographyAttribute, pot of food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographyAttribute Context triple: [Annapurna, iconographyAttribute, pot of food]
-
A.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
B.
iconographyFeature
chosen
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
C.
iconographicCategory
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
-
D.
iconographyStatus
Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
-
E.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d636dc708190be34bb7ea526cfac |
completed | April 28, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.