Triple
T21795019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ektenia tis Eirenis |
E538070
|
entity |
| Predicate | useFrequency |
P23478
|
FINISHED |
| Object | regularly used in Sunday and feast-day liturgies |
—
|
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: regularly used in Sunday and feast-day liturgies | Statement: [Ektenia tis Eirenis, useFrequency, regularly used in Sunday and feast-day liturgies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useFrequency Context triple: [Ektenia tis Eirenis, useFrequency, regularly used in Sunday and feast-day liturgies]
-
A.
usesFrequency
chosen
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
B.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
-
C.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
D.
oftenUse
Indicates that one entity frequently or regularly uses, employs, or utilizes another entity.
-
E.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0622329b08190b8cd9be714aca456 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.