Triple

T10953136
Position Surface form Disambiguated ID Type / Status
Subject Abdelaziz Bouteflika E258773 entity
Predicate givenName P17 FINISHED
Object Abdelaziz E718523 NE 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: Abdelaziz | Statement: [Abdelaziz Bouteflika, givenName, Abdelaziz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdelaziz
Context triple: [Abdelaziz Bouteflika, givenName, Abdelaziz]
  • A. Abdel Aziz chosen
    Abdel Aziz is a common Arabic male given name meaning "servant of the Almighty" and is widely used across the Muslim world.
  • B. Abdel Hakim
    Abdel Hakim is the given name of Abdel Hakim Amer, a prominent Egyptian military officer and political figure during the Nasser era.
  • C. Douaouda
    Douaouda is a coastal town and commune in northern Algeria known for its Mediterranean shoreline and location within the wider Algiers metropolitan area.
  • D. Abd El Hadi
    Abd El Hadi is a personal name of Arabic origin, commonly used in various Arabic-speaking countries and among Muslim communities worldwide.
  • E. Abdelhadi
    Abdelhadi is a male given name of Arabic origin, commonly used in various Arabic-speaking countries and derived from the name Abd al-Hadi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374226b6081909c8db367e7d468a5 completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:23 p.m.