Triple
T22875048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathismata |
E567299
|
entity |
| Predicate | rubricalInstruction |
P150085
|
FINISHED |
| Object | normally read or chanted while seated |
—
|
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: normally read or chanted while seated | Statement: [Kathismata, rubricalInstruction, normally read or chanted while seated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rubricalInstruction Context triple: [Kathismata, rubricalInstruction, normally read or chanted while seated]
-
A.
rubricalSource
Indicates that one entity serves as the liturgical or rubrical source or authority from which the rules, instructions, or ceremonial guidelines for another entity are derived.
-
B.
followsRubricsOf
Indicates that one entity adheres to, complies with, or operates according to the rules, guidelines, or evaluation criteria defined by another entity.
-
C.
languageAssistanceBasis
Indicates the basis or grounds on which language assistance is provided or justified in a given context.
-
D.
goalOfCritique
Indicates that a critique is directed toward achieving or serving a particular goal or purpose.
-
E.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f57a1ec8190b8c6a0080d97a2a2 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:39 p.m.