Triple
T8683207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolnisi Sioni Cathedral |
E206087
|
entity |
| Predicate | hasClerestory |
P84471
|
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: [Bolnisi Sioni Cathedral, hasClerestory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClerestory Context triple: [Bolnisi Sioni Cathedral, hasClerestory, yes]
-
A.
hasCornice
Indicates that one entity (typically a building or structure) possesses a cornice as an architectural feature.
-
B.
hasTransept
Indicates that one architectural structure includes or features a transept as part of its design.
-
C.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
D.
hasStainedGlass
Indicates that one entity possesses or features stained glass as part of its structure or design.
-
E.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc4ae517108190a71a86349815f4ce |
completed | March 31, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:32 p.m.