Triple
T17356812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caelestis |
E421955
|
entity |
| Predicate | iconographyAssociatedWith |
P8270
|
FINISHED |
| Object | star and crescent |
—
|
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: star and crescent | Statement: [Caelestis, iconographyAssociatedWith, star and crescent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographyAssociatedWith Context triple: [Caelestis, iconographyAssociatedWith, star and crescent]
-
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.
iconographicSubject
Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
-
E.
iconographyLocation
Indicates the place or spatial context where a particular iconographic element or visual motif is depicted or situated.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4976788190b00c00f710be6c46 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.