Triple
T4857948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazan Cathedral (Moscow) |
E108581
|
entity |
| Predicate | hasDomeShape |
P41851
|
FINISHED |
| Object | onion domes |
—
|
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: onion domes | Statement: [Kazan Cathedral (Moscow), hasDomeShape, onion domes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDomeShape Context triple: [Kazan Cathedral (Moscow), hasDomeShape, onion domes]
-
A.
domeShape
Indicates that one entity has a dome-like or hemispherical shape in relation to another or in its overall form.
-
B.
hasDomeStyle
chosen
Indicates that one entity (typically a building or structure) possesses a dome characterized by a particular architectural style or form.
-
C.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
D.
hasDomeMaterial
Indicates that the material specified is used as the primary construction or covering material of a dome.
-
E.
hasDomeOrSpire
Indicates that one entity possesses or features a dome or spire as part of its structure.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5b2f008190a5fd11d3aec165fb |
completed | March 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.