Triple
T25185539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm ar-Rasas |
E630707
|
entity |
| Predicate | mosaicDepictions |
P20066
|
FINISHED |
| Object | cities of the region |
—
|
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: cities of the region | Statement: [Umm ar-Rasas, mosaicDepictions, cities of the region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mosaicDepictions Context triple: [Umm ar-Rasas, mosaicDepictions, cities of the region]
-
A.
mosaicCreator
Indicates that an entity is the artist or maker responsible for creating a particular mosaic.
-
B.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
C.
mosaicMaterial
Indicates that something is made of, or incorporates, a specified material in its mosaic construction.
-
D.
artisticDepiction
chosen
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
E.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e0a26288190a51d138eef37a94a |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:37 p.m.