Triple
T25864532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rana de Salamanca |
E651574
|
entity |
| Predicate | artStyleContext |
P1851
|
FINISHED |
| Object | Plateresque architecture |
—
|
NE NERFINISHED |
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: Plateresque architecture | Statement: [La Rana de Salamanca, artStyleContext, Plateresque architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artStyleContext Context triple: [La Rana de Salamanca, artStyleContext, Plateresque architecture]
-
A.
styleContext
Indicates that one entity provides the stylistic or formatting context within which another entity is interpreted or rendered.
-
B.
artisticStyle
chosen
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
stylingContribution
Indicates a contribution made specifically to the styling, appearance, or visual presentation aspects of something.
-
E.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026ddccc8190a7d7cc460a5ede96 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:06 a.m.