Triple
T17129969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panathenaic amphora |
E415693
|
entity |
| Predicate | decorationColorScheme |
P29272
|
FINISHED |
| Object | black figures on red clay ground |
—
|
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: black figures on red clay ground | Statement: [Panathenaic amphora, decorationColorScheme, black figures on red clay ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorationColorScheme Context triple: [Panathenaic amphora, decorationColorScheme, black figures on red clay ground]
-
A.
entranceColorScheme
Indicates the color arrangement or palette used for an entrance area in relation to a space or structure.
-
B.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
C.
façadeColorScheme
Indicates the relationship specifying the color arrangement or palette applied to the exterior façade of a structure.
-
D.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
E.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f029d1a48190a9d4094827d11d23 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.