Triple

T12272383
Position Surface form Disambiguated ID Type / Status
Subject Akoko-Edo E292501 entity
Predicate usesLanguage P238 FINISHED
Object Akuku language (Okpameri cluster) E936892 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: Akuku language (Okpameri cluster) | Statement: [Akoko-Edo, usesLanguage, Akuku language (Okpameri cluster)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akuku language (Okpameri cluster)
Context triple: [Akoko-Edo, usesLanguage, Akuku language (Okpameri cluster)]
  • A. Akoko languages
    The Akoko languages are a small group of closely related Niger-Congo languages spoken primarily in the Akoko region of southwestern Nigeria.
  • B. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • C. Okpamheri language chosen
    The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
  • D. Oko languages
    Oko languages are a small group of closely related Niger-Congo languages spoken primarily in central Nigeria.
  • E. Akan language
    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.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6981b48190a0fc5a571c425be1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.