Triple
T33792053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الأوقاف والشؤون الإسلامية بالمغرب |
E865955
|
entity |
| Predicate | يتعاون_مع |
P80969
|
FINISHED |
| Object | المجلس العلمي الأعلى بالمغرب |
—
|
NE NERFINISHED |
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: المجلس العلمي الأعلى بالمغرب | Statement: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, يتعاون_مع, المجلس العلمي الأعلى بالمغرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتعاون_مع Context triple: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, يتعاون_مع, المجلس العلمي الأعلى بالمغرب]
-
A.
cooperationAmong
Indicates a relationship in which multiple entities work together collaboratively toward shared goals or mutual benefit.
-
B.
cooperateThrough
Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
-
C.
συνεργάστηκεΜε
chosen
Indicates that one entity collaborated or worked together with another entity.
-
D.
cooperationAgainst
Indicates a collaborative relationship in which two or more entities work together in opposition to a shared target or adversary.
-
E.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
- 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.