Triple
T6196167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Cathedral |
E138512
|
entity |
| Predicate | hasCeilingPaintings |
P34815
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Oslo Cathedral, hasCeilingPaintings, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeilingPaintings Context triple: [Oslo Cathedral, hasCeilingPaintings, yes]
-
A.
ceilingPaintingBy
Indicates that a ceiling artwork or painting was created by a particular artist or creator.
-
B.
ceilingPaintingSubject
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
C.
hasCeilingDecoration
chosen
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
D.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
-
E.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0624571508190bd273b4a051fbe41 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.