Triple

T6823634
Position Surface form Disambiguated ID Type / Status
Subject Kofi E156959 entity
Predicate hasLanguageOfUse P207 FINISHED
Object Akan language E151062 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: Akan language | Statement: [Kofi, hasLanguageOfUse, Akan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan language
Context triple: [Kofi, hasLanguageOfUse, Akan language]
  • A. Akan language chosen
    Akan is a Central Tano language of the Niger-Congo family spoken primarily in Ghana, where it serves as a major lingua franca and vehicle of Akan culture.
  • B. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • C. Akoko languages
    The Akoko languages are a small group of closely related Niger-Congo languages spoken primarily in the Akoko region of southwestern Nigeria.
  • D. Aka-Kede language
    The Aka-Kede language is an extinct Ongan language once spoken by the indigenous Andamanese Aka-Kede people of North Andaman Island in India.
  • E. Sango language
    Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d580ca448190aa6d52908ca50e39 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7617566f481908d49d3e285c4fdae completed March 28, 2026, 5:04 a.m.
Created at: March 27, 2026, 2:18 p.m.