Triple
T31595112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisha Arbëreshe |
E806198
|
entity |
| Predicate | usesSacredArt |
P114784
|
FINISHED |
| Object | Byzantine icons |
—
|
NE NERFINISHED |
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: Byzantine icons | Statement: [Kisha Arbëreshe, usesSacredArt, Byzantine icons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSacredArt Context triple: [Kisha Arbëreshe, usesSacredArt, Byzantine icons]
-
A.
usesSacredArtForm
chosen
Indicates that one entity employs or incorporates a sacred or religiously significant art form in relation to another entity or context.
-
B.
sacredTo
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
C.
sacredColor
Indicates that a particular color is regarded as holy, revered, or religiously significant in relation to an entity or context.
-
D.
sacredElement
Indicates that one entity is regarded as holy, revered, or spiritually significant within the religious or cultural context of the other entity.
-
E.
sacredStatus
Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 30, 2026, 10:30 p.m.