Triple

T36001727
Position Surface form Disambiguated ID Type / Status
Subject العرش E1041149 entity
Predicate موضوع_خلاف_كلامي P53157 FINISHED
Object بين المدارس الكلامية الإسلامية في تفسير الاستواء 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: بين المدارس الكلامية الإسلامية في تفسير الاستواء | Statement: [العرش, موضوع_خلاف_كلامي, بين المدارس الكلامية الإسلامية في تفسير الاستواء]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: موضوع_خلاف_كلامي
Context triple: [العرش, موضوع_خلاف_كلامي, بين المدارس الكلامية الإسلامية في تفسير الاستواء]
  • A. religiousControversy chosen
    Indicates a relationship in which entities are involved in a dispute, conflict, or debate specifically concerning religious beliefs, practices, or institutions.
  • B. الموقف_الديني
    Indicates a religious stance or position that an entity holds toward a belief, practice, or issue.
  • C. الانتماء الفقهي
    Indicates the doctrinal or jurisprudential school to which an entity is affiliated or adheres.
  • D. religiousStruggle
    Indicates a conflict, tension, or hardship someone experiences related to their religious beliefs, practices, or identity.
  • E. religiousArgumentType
    Indicates that the relationship involves classifying or characterizing an argument according to its religious nature or type.
  • 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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acaec1508190a38f2ac9cc5383e7 completed May 3, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69f7ab75387c819091afc3c2128eb903 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:07 p.m.