Triple
T623877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Catholic Church of Slovakia |
E14571
|
entity |
| Predicate | clericalCelibacyPolicy |
P10287
|
FINISHED |
| Object | optional clerical celibacy |
—
|
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: optional clerical celibacy | Statement: [Old Catholic Church of Slovakia, clericalCelibacyPolicy, optional clerical celibacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalCelibacyPolicy Context triple: [Old Catholic Church of Slovakia, clericalCelibacyPolicy, optional clerical celibacy]
-
A.
clergyMayMarry
chosen
Indicates that members of the clergy are permitted to enter into marriage.
-
B.
hasClericalDiscipline
Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
-
C.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
D.
religiousAdministration
Indicates that one entity holds authority or responsibility for managing, overseeing, or governing the religious affairs, practices, or institutions of another entity.
-
E.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e41753881909f0faed720cc31bc |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49d0069d0819087c83b608f6fc053 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.