Triple

T12654114
Position Surface form Disambiguated ID Type / Status
Subject Asante Twi E302237 entity
Predicate closelyRelatedTo P37 FINISHED
Object Akuapem Twi E304314 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: Akuapem Twi | Statement: [Asante Twi, closelyRelatedTo, Akuapem Twi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akuapem Twi
Context triple: [Asante Twi, closelyRelatedTo, Akuapem Twi]
  • A. Akuapem Twi chosen
    Akuapem Twi is a major dialect of the Akan language spoken primarily in the Akuapem area of Ghana and widely used in education, media, and religious contexts.
  • B. Asante Twi
    Asante Twi is a major dialect of the Akan language spoken predominantly by the Asante people in Ghana and widely used in education, media, and everyday communication.
  • C. Akyem Twi
    Akyem Twi is a regional variety of the Akan language spoken primarily by the Akyem people in Ghana.
  • D. Akpafu dialect
    The Akpafu dialect is a regional variety of the Siwu language spoken by the Akpafu people in the Volta Region of Ghana.
  • E. Fante language
    Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c730b5c8190ae8dbb476e53729e completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:18 p.m.