Triple

T37991483
Position Surface form Disambiguated ID Type / Status
Subject Akan diaspora E947830 entity
Predicate maintainsCulturalTieTo P55043 FINISHED
Object Akan language 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: Akan language | Statement: [Akan diaspora, maintainsCulturalTieTo, Akan language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maintainsCulturalTieTo
Context triple: [Akan diaspora, maintainsCulturalTieTo, Akan language]
  • A. maintainsTransnationalTies
    Indicates that an entity sustains ongoing social, economic, political, or cultural connections that span across national borders.
  • B. hasCulturalRelation
    Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
  • C. maintainsReligiousTiesWith
    Indicates that one entity continues to uphold or preserve an ongoing religious connection, affiliation, or relationship with another entity.
  • D. culturalIdentityTiedTo
    Indicates that an entity’s cultural identity is closely connected or strongly associated with another specified entity or context.
  • E. closeCulturalTiesWith chosen
    Indicates a relationship where two entities share strong, ongoing cultural connections, influences, or exchanges.
  • 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_69f76efa37088190be5416b7ef1ca275 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: May 3, 2026, 4:20 p.m.