Triple
T7002010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesuit Church Lucerne |
E162357
|
entity |
| Predicate | hasCeilingFrescos |
P23612
|
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: [Jesuit Church Lucerne, hasCeilingFrescos, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeilingFrescos Context triple: [Jesuit Church Lucerne, hasCeilingFrescos, yes]
-
A.
ceilingFrescoCompletionYear
Indicates the year in which the painting or decoration of a ceiling fresco was completed.
-
B.
hasFrescoes
chosen
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
-
C.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
D.
hasAltarpiecesInStyle
Indicates that an entity possesses or features altarpieces that are created or designed in a specified artistic style.
-
E.
hasIconostasis
Indicates that a place of worship contains or is equipped with an iconostasis, a partition or screen bearing icons that separates different liturgical spaces.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.