Triple
T3793450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaouite dynasty |
E89710
|
entity |
| Predicate | associatedReligionRole |
P51786
|
FINISHED |
| Object | protector of Islam in Morocco |
—
|
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: protector of Islam in Morocco | Statement: [Alaouite dynasty, associatedReligionRole, protector of Islam in Morocco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedReligionRole Context triple: [Alaouite dynasty, associatedReligionRole, protector of Islam in Morocco]
-
A.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
B.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
C.
associatedReligionInTexts
Indicates that a particular religion is mentioned or linked in written texts in connection with the given entity.
-
D.
eraOfReligiousFunction
Indicates the historical time period during which a religious role, office, or function was actively performed or held.
-
E.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
- F. None of above. chosen
Provenance (4 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeecee63e8819099b8ee8ad4d4354e |
completed | March 9, 2026, 3:53 p.m. |
Created at: March 9, 2026, 3:15 p.m.