Triple
T23654855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oratorio di San Giovanni Battista |
E584268
|
entity |
| Predicate | mainDecorationTechnique |
P14965
|
FINISHED |
| Object | fresco |
—
|
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: fresco | Statement: [Oratorio di San Giovanni Battista, mainDecorationTechnique, fresco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDecorationTechnique Context triple: [Oratorio di San Giovanni Battista, mainDecorationTechnique, fresco]
-
A.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
decorativeComplexity
Indicates the degree or richness of ornamental detail or embellishment present in something.
-
C.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
D.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
E.
decorativeFinish
Indicates that one entity serves as an ornamental or aesthetic surface treatment applied to 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35a513c8190a251fe2f55b23d7c |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.