Triple

T12039829
Position Surface form Disambiguated ID Type / Status
Subject Akoko languages E286630 entity
Predicate geographicDistribution P2178 FINISHED
Object Akoko South 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 South | Statement: [Akoko languages, geographicDistribution, Akoko South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akoko South
Context triple: [Akoko languages, geographicDistribution, Akoko South]
  • A. 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.
  • B. 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.
  • C. Calabar South
    Calabar South is a coastal local government area in southeastern Nigeria that forms part of the city of Calabar, known for its historical significance and cultural heritage.
  • D. Ikare-Akoko
    Ikare-Akoko is a major commercial and cultural town in southwestern Nigeria, serving as one of the key urban centers in the Akoko region.
  • E. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a613054819082f7900a6ba8fbf8 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:47 p.m.