Triple
T2340673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian Greek Catholic Church |
E45017
|
entity |
| Predicate | clericalCelibacyPractice |
P10287
|
FINISHED |
| Object | married and celibate clergy |
—
|
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: married and celibate clergy | Statement: [Ukrainian Greek Catholic Church, clericalCelibacyPractice, married and celibate clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalCelibacyPractice Context triple: [Ukrainian Greek Catholic Church, clericalCelibacyPractice, married and celibate clergy]
-
A.
clergyPractice
Indicates that a member of the clergy engages in, performs, or follows a particular religious practice or ritual.
-
B.
clergyCan
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
-
C.
hasClericalDiscipline
Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
-
D.
hasClericalProvince
Indicates that one ecclesiastical jurisdiction or entity is part of, or belongs to, a specific clerical (church) province.
-
E.
clergyMayMarry
chosen
Indicates that members of the clergy are permitted to enter into marriage.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.