Triple
T30355261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alhambra tilings |
E772124
|
entity |
| Predicate | hasAestheticProperty |
P23698
|
FINISHED |
| Object | high regularity |
—
|
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: high regularity | Statement: [Alhambra tilings, hasAestheticProperty, high regularity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAestheticProperty Context triple: [Alhambra tilings, hasAestheticProperty, high regularity]
-
A.
hasAestheticOrientation
Indicates that an entity holds or exhibits a particular aesthetic preference, style, or orientation in relation to another entity or concept.
-
B.
associatedAesthetic
Indicates a relationship where one entity is linked to or characterized by a particular aesthetic style, quality, or visual/theme-based sensibility.
-
C.
aestheticRole
Indicates the role or function something has within an aesthetic or artistic context (e.g., as artwork, decoration, or design element).
-
D.
haveProperty
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
E.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6823e27d88190af8342b01f9876e8 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.