Triple

T25861067
Position Surface form Disambiguated ID Type / Status
Subject الطريقة القادرية E651477 entity
Predicate تنتسب إلى P109922 FINISHED
Object مدرسة أهل السنة والجماعة 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: مدرسة أهل السنة والجماعة | Statement: [الطريقة القادرية, تنتسب إلى, مدرسة أهل السنة والجماعة]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: تنتسب إلى
Context triple: [الطريقة القادرية, تنتسب إلى, مدرسة أهل السنة والجماعة]
  • A. appartientÀ chosen
    Indicates that one entity belongs to, is a member of, or is part of another entity.
  • B. attachedTo
    Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
  • C. надлежност
    Indicates that one entity belongs to, is under the authority of, or falls within the responsibility or jurisdiction of another entity.
  • D. canBelongTo
    Indicates that something is capable of being a member or part of a particular group, category, or owner.
  • E. believedToBelongTo
    Indicates that something is thought or assumed, but not definitively known, to be owned by or part of a particular entity.
  • 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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6026b467c8190a1f8be336f8679da completed May 2, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69f4939148dc81908706cec7d85291bc completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 8:05 a.m.