Triple

T38442738
Position Surface form Disambiguated ID Type / Status
Subject Suba people E906541 entity
Predicate hasCulturalSimilarityWith P22474 FINISHED
Object other Bantu groups around Lake Victoria 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: other Bantu groups around Lake Victoria | Statement: [Suba people, hasCulturalSimilarityWith, other Bantu groups around Lake Victoria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCulturalSimilarityWith
Context triple: [Suba people, hasCulturalSimilarityWith, other Bantu groups around Lake Victoria]
  • A. culturallySimilarTo chosen
    Indicates that two entities share comparable cultural characteristics, practices, or values.
  • B. hasCulturalRelation
    Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
  • C. hasCulturalEquivalent
    Indicates that one entity has a counterpart in another cultural context that plays a similar role, function, or meaning.
  • D. hasDistinctCultureFrom
    Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
  • E. hasLanguageSimilarTo
    Indicates that one entity uses or is associated with a language that is similar or closely related to the language used or associated with 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_69f76e72878c8190a692836c8b01b58b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69feb8e856d48190aa34ad8ee8376e1c completed May 9, 2026, 4:32 a.m.
PD Predicate disambiguation batch_69feb82a2b6c8190a473cc25976897be completed May 9, 2026, 4:29 a.m.
Created at: May 3, 2026, 4:31 p.m.