Triple
T26234310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raukkan Church |
E656121
|
entity |
| Predicate | imageFeatureOn |
P142666
|
FINISHED |
| Object | Australian banknote design featuring David Unaipon |
—
|
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: Australian banknote design featuring David Unaipon | Statement: [Raukkan Church, imageFeatureOn, Australian banknote design featuring David Unaipon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageFeatureOn Context triple: [Raukkan Church, imageFeatureOn, Australian banknote design featuring David Unaipon]
-
A.
hasImageFeature
chosen
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
-
B.
visualFeature
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of another entity.
-
C.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
D.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
E.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d897ae081909d9cac57cbda3e00 |
completed | May 2, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:01 p.m.