Triple
T27761417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Staircase (Würzburg Residence) |
E701479
|
entity |
| Predicate | ceilingFrescoDepicts |
P120414
|
FINISHED |
| Object | allegories of the four continents |
—
|
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: allegories of the four continents | Statement: [Grand Staircase (Würzburg Residence), ceilingFrescoDepicts, allegories of the four continents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingFrescoDepicts Context triple: [Grand Staircase (Würzburg Residence), ceilingFrescoDepicts, allegories of the four continents]
-
A.
ceilingFrescoTitle
Indicates that one entity is the title assigned to a ceiling fresco associated with another entity.
-
B.
ceilingFrescoCompletionYear
Indicates the year in which the painting or decoration of a ceiling fresco was completed.
-
C.
ceilingPaintingBy
Indicates that a ceiling artwork or painting was created by a particular artist or creator.
-
D.
ceilingPaintingSubject
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
E.
hasMuralsDepicting
chosen
Indicates that one entity contains or features murals that visually represent or portray 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6376620888190bade1617f8c45ba1 |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:27 p.m.