Triple

T32838513
Position Surface form Disambiguated ID Type / Status
Subject مفدي زكريا E839899 entity
Predicate رمز P129 FINISHED
Object رمز من رموز المقاومة الثقافية ضد الاستعمار الفرنسي 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: رمز من رموز المقاومة الثقافية ضد الاستعمار الفرنسي | Statement: [مفدي زكريا, رمز, رمز من رموز المقاومة الثقافية ضد الاستعمار الفرنسي]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: رمز
Context triple: [مفدي زكريا, رمز, رمز من رموز المقاومة الثقافية ضد الاستعمار الفرنسي]
  • A. mint
    Indicates the act of creating or issuing something new, typically in an official or authoritative capacity (such as producing new currency or tokens).
  • B. symbolOnInsignia
    Indicates that a particular symbol appears on or is featured as part of an insignia.
  • C. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • D. ייחוס
    Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
  • E. symbolDesigned
    Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for 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_69f3493ff0888190b51e974eae2a7834 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:16 a.m.