Triple
T29035992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arian Baptistery in Ravenna |
E737859
|
entity |
| Predicate | mosaicTheme |
P165953
|
FINISHED |
| Object | Baptism of Christ |
—
|
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: Baptism of Christ | Statement: [Arian Baptistery in Ravenna, mosaicTheme, Baptism of Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mosaicTheme Context triple: [Arian Baptistery in Ravenna, mosaicTheme, Baptism of Christ]
-
A.
mosaicCreator
Indicates that an entity is the artist or maker responsible for creating a particular mosaic.
-
B.
mosaicLayout
Indicates that elements are arranged in a mosaic-style layout, typically combining varied sizes or shapes into a cohesive visual grid or pattern.
-
C.
mosaicMaterial
Indicates that something is made of, or incorporates, a specified material in its mosaic construction.
-
D.
hasMosaic
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
E.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
- F. None of above. chosen
Provenance (4 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603c9e4081908129011e8294db5a |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:58 a.m.