Triple

T37349479
Position Surface form Disambiguated ID Type / Status
Subject الممتحنة E927282 entity
Predicate موضوعها_الرئيس P186092 FINISHED
Object أحكام التعامل مع الكفار والمنافقين 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: أحكام التعامل مع الكفار والمنافقين | Statement: [الممتحنة, موضوعها_الرئيس, أحكام التعامل مع الكفار والمنافقين]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: موضوعها_الرئيس
Context triple: [الممتحنة, موضوعها_الرئيس, أحكام التعامل مع الكفار والمنافقين]
  • A. موضوع_رئيس
    Indicates that one entity serves as the main or primary subject/topic in relation to another entity.
  • B. موضوعه chosen
    Indicates that something is the subject or topic that an action, statement, or discussion is about.
  • C. rightOfPresident
    Indicates that one entity is positioned to the right side of the president in a spatial or ordering context.
  • D. headOfRepublic
    Indicates the relationship in which a person holds the highest office and serves as the chief of state of a republic.
  • E. subjectOfPower
    Indicates that one entity holds authority, control, or influence over another 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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8c38a9688190be524246f5682107 completed May 6, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69fb5a9c6e0481908565bd849e869b24 completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:16 p.m.