Triple
T3007552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of All Nations |
E81938
|
entity |
| Predicate | hasMosaic |
P44624
|
FINISHED |
| Object | facade mosaic depicting Jesus |
—
|
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: facade mosaic depicting Jesus | Statement: [Church of All Nations, hasMosaic, facade mosaic depicting Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMosaic Context triple: [Church of All Nations, hasMosaic, facade mosaic depicting Jesus]
-
A.
hasMosaicsBy
Indicates that something contains or features mosaics that were created by a specified agent or creator.
-
B.
hasMosaicNameTablet
Indicates that an entity is associated with, or possesses, a tablet that bears the name used in a mosaic.
-
C.
hasMythicMotif
Indicates that one entity features, embodies, or is associated with a particular mythic motif found in the other entity.
-
D.
hasMIC
Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
-
E.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4a12508190a48ae1c86233d25e |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.