Triple
T4635074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voroneț Monastery |
E101508
|
entity |
| Predicate | exteriorDecoration |
P50854
|
FINISHED |
| Object | polychrome frescoes |
—
|
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: polychrome frescoes | Statement: [Voroneț Monastery, exteriorDecoration, polychrome frescoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exteriorDecoration Context triple: [Voroneț Monastery, exteriorDecoration, polychrome frescoes]
-
A.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
B.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
C.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
D.
ornamentalFeature
chosen
Indicates that one entity serves as a decorative or embellishing feature of another entity.
-
E.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a5ec8108190aeb1147a67bff057 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.