Triple
T28174775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town Hall at Auvers |
E715560
|
entity |
| Predicate | hasArchitecturalElementDepicted |
P6684
|
FINISHED |
| Object | gable |
—
|
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: gable | Statement: [The Town Hall at Auvers, hasArchitecturalElementDepicted, gable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalElementDepicted Context triple: [The Town Hall at Auvers, hasArchitecturalElementDepicted, gable]
-
A.
hasArchitecturalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
B.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
C.
hasArchitecturalTheme
Indicates that one entity features or embodies a particular architectural style, motif, or design concept associated with another entity.
-
D.
hasArchitecturalCommemoration
Indicates that one entity is honored or memorialized by another entity through an architectural work or structure.
-
E.
hasSculpturalFigures
Indicates that something includes or features three-dimensional sculpted figures as part of its form or decoration.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 10:15 p.m.