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
المجلس العلمي الأعلى بالمغرب هو أعلى هيئة دينية رسمية في المملكة المغربية تُعنى بالإفتاء وتوجيه الشأن الديني وضبط الخطاب الديني تحت إشراف أمير المؤمنين.
E2067388 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: المجلس العلمي الأعلى بالمغرب
Triple: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, يتعاون_مع, المجلس العلمي الأعلى بالمغرب]
Generated description
المجلس العلمي الأعلى بالمغرب هو أعلى هيئة دينية رسمية في المملكة المغربية تُعنى بالإفتاء وتوجيه الشأن الديني وضبط الخطاب الديني تحت إشراف أمير المؤمنين.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a366591a1608190ba9b43694d4abbe1 completed June 20, 2026, 10:04 a.m.
NEDg Description generation batch_6a366626e0708190b7b11d854a951965 completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666c5937c8190a41f48157f47f8dc completed June 20, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.