Triple

T18644164
Position Surface form Disambiguated ID Type / Status
Subject Mansa Mata E455761 entity
Predicate hasPossibleCulturalAssociation P1439 FINISHED
Object African naming traditions 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: African naming traditions | Statement: [Mansa Mata, hasPossibleCulturalAssociation, African naming traditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPossibleCulturalAssociation
Context triple: [Mansa Mata, hasPossibleCulturalAssociation, African naming traditions]
  • A. hasAssociatedCulture chosen
    Indicates that an entity is related to, influenced by, or characterized by a particular culture.
  • B. hasCulturalRelation
    Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
  • C. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • D. hasCulturalSignificance
    Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
  • E. hasCulturalLegacyIn
    Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
PD Predicate disambiguation batch_69e478d85864819093cbad5ed9b54878 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:47 a.m.