Triple
T12097766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salineras de Maras |
E288113
|
entity |
| Predicate | landscapeColorContrast |
P76599
|
FINISHED |
| Object | white salt ponds against red-brown hillsides |
—
|
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: white salt ponds against red-brown hillsides | Statement: [Salineras de Maras, landscapeColorContrast, white salt ponds against red-brown hillsides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landscapeColorContrast Context triple: [Salineras de Maras, landscapeColorContrast, white salt ponds against red-brown hillsides]
-
A.
albedoContrast
chosen
Indicates the degree to which two surfaces or regions differ in their reflectivity (albedo), typically highlighting contrast in brightness.
-
B.
hasColorImagery
Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
-
C.
landscapeAbstraction
Indicates that one entity is an abstract or non-literal representation derived from the landscape or its features.
-
D.
landscapeStyle
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
E.
contrastEnvironment
Indicates a relationship where one environment is compared against another to highlight their differences or opposing characteristics.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.