Triple
T10992728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personal Ordinariates |
E259788
|
entity |
| Predicate | allowMarriedClergy |
P10287
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Personal Ordinariates, allowMarriedClergy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowMarriedClergy Context triple: [Personal Ordinariates, allowMarriedClergy, yes]
-
A.
allowsDivorcedRemarriedCommunion
Indicates that an authority or practice permits individuals who are divorced and remarried to receive communion.
-
B.
clergyMayMarry
chosen
Indicates that members of the clergy are permitted to enter into marriage.
-
C.
allowsOrdinationOfWomen
Indicates that an entity permits women to be formally ordained into official religious or clerical roles.
-
D.
allowsBlessingOfSameSexUnions
Indicates that an entity permits or authorizes the blessing of unions between partners of the same sex.
-
E.
allowedOrdinationOf
Indicates that one entity permits or authorizes the formal religious ordination of another entity.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d32f9081909def643571499521 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.