Triple

T33791927
Position Surface form Disambiguated ID Type / Status
Subject عهد الدولة الموحدية E865953 entity
Predicate ارتبط_بـ P37 FINISHED
Object ابن تومرت
ابن تومرت هو مؤسس حركة الموحدين في المغرب الإسلامي وقائد ديني إصلاحي ادّعى المهدوية وأسّس الأساس الفكري للدولة الموحدية.
E2080150 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: ابن تومرت | Statement: [عهد الدولة الموحدية, ارتبط_بـ, ابن تومرت]
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: ابن تومرت
Triple: [عهد الدولة الموحدية, ارتبط_بـ, ابن تومرت]
Generated description
ابن تومرت هو مؤسس حركة الموحدين في المغرب الإسلامي وقائد ديني إصلاحي ادّعى المهدوية وأسّس الأساس الفكري للدولة الموحدية.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ارتبط_بـ
Context triple: [عهد الدولة الموحدية, ارتبط_بـ, ابن تومرت]
  • A. مرتبطب
    Indicates a relationship of being connected, associated, or related to something or someone.
  • B. relatedPass
    Indicates that one pass is associated with or connected to another pass in some relevant way.
  • C. associatedThrough
    Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
  • D. relatedTo chosen
    Indicates a general, non-specific relationship or association exists between two entities.
  • E. повʼязанеЗ
    Indicates a general association or connection between one entity and another.
  • 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_6a36ae3262308190aa8862e74f768366 completed June 20, 2026, 3:13 p.m.
NEDg Description generation batch_6a36af0ecea8819092b60c42572f3865 completed June 20, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a36afaee2b88190b603b07a7700efa2 completed June 20, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.