Triple
T4243243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Crown of Upper Egypt |
E95464
|
entity |
| Predicate | iconographicRole |
P24674
|
FINISHED |
| Object | identifies the ruler as lord of Upper Egypt |
—
|
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: identifies the ruler as lord of Upper Egypt | Statement: [White Crown of Upper Egypt, iconographicRole, identifies the ruler as lord of Upper Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicRole Context triple: [White Crown of Upper Egypt, iconographicRole, identifies the ruler as lord of Upper Egypt]
-
A.
iconographicFunction
chosen
Indicates the symbolic or representational role that something serves within an image or visual composition.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographicSubject
Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
-
D.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
E.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8a676c8190ac2cb59e62613dd9 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.