Triple
T4668847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sucevița Monastery |
E102911
|
entity |
| Predicate | wallPaintingTechnique |
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: [Sucevița Monastery, wallPaintingTechnique, fresco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallPaintingTechnique Context triple: [Sucevița Monastery, wallPaintingTechnique, fresco]
-
A.
wallTreatment
Indicates how a wall is finished, covered, or treated in terms of its surface appearance or protective coating.
-
B.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
C.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
D.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
E.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.