Triple
T5189644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de San Francisco |
E117118
|
entity |
| Predicate | rockArtTechnique |
P14965
|
FINISHED |
| Object | polychrome 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: polychrome painting | Statement: [Sierra de San Francisco, rockArtTechnique, polychrome painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rockArtTechnique Context triple: [Sierra de San Francisco, rockArtTechnique, polychrome painting]
-
A.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
C.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
D.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
E.
rockArtLocationType
Indicates the specific type or category of location where rock art is found or situated.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.