Triple

T13558588
Position Surface form Disambiguated ID Type / Status
Subject Akoko E323843 entity
Predicate region P40 FINISHED
Object Akoko region E962193 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: Akoko region | Statement: [Akoko, region, Akoko region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akoko region
Context triple: [Akoko, region, Akoko region]
  • A. Akoko region chosen
    The Akoko region is an area in southwestern Nigeria known for its cluster of closely related Akoko communities and their distinct languages and cultural traditions.
  • B. Anioma region
    The Anioma region is a culturally distinct Igbo-speaking area in Delta State, Nigeria, known for its shared linguistic heritage, customs, and historical identity.
  • C. Ogun River region
    The Ogun River region is a historically important area in southwestern Nigeria that served as a key theater of 19th-century conflicts and trade around the city of Abeokuta.
  • D. Ashanti Region
    The Ashanti Region is a central area of Ghana known for its rich Ashanti cultural heritage, historic kingdoms, and major city of Kumasi.
  • E. Akoko North
    Akoko North is a local government area in Ondo State, southwestern Nigeria, known for being one of the primary regions where the Akoko languages are spoken.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff4223c8190801d153ae8f94c73 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dab4974819097880ad4d50f1b34 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.