Triple
T33792055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الأوقاف والشؤون الإسلامية بالمغرب |
E865955
|
entity |
| Predicate | الديانة_المعنية |
P67692
|
FINISHED |
| Object | الإسلام |
—
|
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: الإسلام | Statement: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, الديانة_المعنية, الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الديانة_المعنية Context triple: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, الديانة_المعنية, الإسلام]
-
A.
الديانة
chosen
Indicates the religious affiliation or faith tradition that an entity follows or is associated with.
-
B.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
C.
أصل_ديني
Indicates a religious origin or affiliation that an entity belongs to or is derived from.
-
D.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
-
E.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.