Triple
T38334806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Raška and Prizren |
E1037925
|
entity |
| Predicate | liturgicalVestment |
P6085
|
FINISHED |
| Object | omophorion |
—
|
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: omophorion | Statement: [Bishop of Raška and Prizren, liturgicalVestment, omophorion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalVestment Context triple: [Bishop of Raška and Prizren, liturgicalVestment, omophorion]
-
A.
hasClericalVestments
Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
-
B.
monasticDress
Indicates that an entity wears or is characterized by clothing associated with a monastic or religious order.
-
C.
liturgicalChair
Indicates that one entity serves as a liturgical chair used in religious or ceremonial worship settings for another entity.
-
D.
ceremonialDressFeature
chosen
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
E.
usesLiturgicalColors
Indicates that one entity employs or applies specific liturgical colors in relation to another entity, typically within a religious or ceremonial context.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.