Triple
T26214198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Murals |
E655573
|
entity |
| Predicate | paintTechnique |
P14965
|
FINISHED |
| Object | fresco-like mural painting |
—
|
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-like mural painting | Statement: [Temple of the Murals, paintTechnique, fresco-like mural painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintTechnique Context triple: [Temple of the Murals, paintTechnique, fresco-like mural painting]
-
A.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
paints
Indicates that one entity applies paint to create, cover, or decorate another entity.
-
C.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
-
D.
paintingSettingOf
Indicates that a painting depicts or provides the visual setting or background context for another entity or scene.
-
E.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d19d4648190bbee8ebc67164e60 |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:53 p.m.