Triple
T35661201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villamayor sandstone |
E1030437
|
entity |
| Predicate | aestheticValue |
P102534
|
FINISHED |
| Object | warm chromatic effect on urban landscape |
—
|
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: warm chromatic effect on urban landscape | Statement: [Villamayor sandstone, aestheticValue, warm chromatic effect on urban landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aestheticValue Context triple: [Villamayor sandstone, aestheticValue, warm chromatic effect on urban landscape]
-
A.
associatedAesthetic
chosen
Indicates a relationship where one entity is linked to or characterized by a particular aesthetic style, quality, or visual/theme-based sensibility.
-
B.
visualAppeal
Indicates that one entity finds another entity aesthetically pleasing or visually attractive.
-
C.
aestheticRole
Indicates the role or function something has within an aesthetic or artistic context (e.g., as artwork, decoration, or design element).
-
D.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
E.
ornamentalFeature
Indicates that one entity serves as a decorative or embellishing feature of 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fa7d1708190bb5defe2ea54dc75 |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.