Triple
T34474166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Morocco |
E884984
|
entity |
| Predicate | publicProselytism |
P29871
|
FINISHED |
| Object | restricted |
—
|
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: restricted | Statement: [Catholic Church in Morocco, publicProselytism, restricted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicProselytism Context triple: [Catholic Church in Morocco, publicProselytism, restricted]
-
A.
promotedReligion
chosen
Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
-
B.
socialMinistry
Indicates that an entity is responsible for or associated with governmental or organizational activities related to social welfare, services, or social policy.
-
C.
missionizationAt
Indicates the location or context in which a missionizing or religious conversion effort takes place.
-
D.
namedAfterReligion
Indicates that an entity’s name is derived from or inspired by a particular religion or religious tradition.
-
E.
instructsBelieversTo
Indicates that a subject gives commands, guidance, or directives specifically to believers to perform or refrain from certain actions.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: May 1, 2026, 2:01 a.m.