Triple

T26190259
Position Surface form Disambiguated ID Type / Status
Subject Aït Boumahdi E654941 entity
Predicate hasEthnoCulturalContext P64832 FINISHED
Object Kabyle Berber NE NERFINISHED

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: Kabyle Berber | Statement: [Aït Boumahdi, hasEthnoCulturalContext, Kabyle Berber]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEthnoCulturalContext
Context triple: [Aït Boumahdi, hasEthnoCulturalContext, Kabyle Berber]
  • A. hasEthnolinguisticContext chosen
    Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
  • B. hasEthnographicContext
    Indicates that something is associated with, or situated within, a particular ethnographic setting, culture, or sociocultural context.
  • C. depictsEthnicContext
    Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
  • D. hasEthnolinguisticPresence
    Indicates that a particular ethnolinguistic group is present or represented within a specified place, context, or population.
  • E. hasEthnicScope
    Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
  • 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_69ee5b469bc081908fe486453fdad810 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 26, 2026, 8:44 p.m.