Triple

T6746850
Position Surface form Disambiguated ID Type / Status
Subject Barbara Bodichon E154238 entity
Predicate residence P75 FINISHED
Object Algiers, Algeria E10377 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: Algiers, Algeria | Statement: [Barbara Bodichon, residence, Algiers, Algeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algiers, Algeria
Context triple: [Barbara Bodichon, residence, Algiers, Algeria]
  • A. Algiers chosen
    Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
  • B. Bab El Oued, Algiers, Algeria
    Bab El Oued is a densely populated coastal neighborhood of Algiers known for its working-class character, vibrant street life, and significant role in the city’s cultural and political history.
  • C. Annaba, Algeria
    Annaba, Algeria is a coastal city in northeastern Algeria best known as the modern location of ancient Hippo Regius, where Saint Augustine served as bishop.
  • D. El Azizia, Algeria
    El Azizia is a small town in Algeria notable as the birthplace of prominent diplomat Lakhdar Brahimi.
  • E. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b8a0f0819086b802983e8ffcb6 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b15ded88190a36fb86093ba5a3c completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.