Triple

T12969160
Position Surface form Disambiguated ID Type / Status
Subject Volta–Niger languages E321347 entity
Predicate containsLanguage P2177 FINISHED
Object Igala E336340 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: Igala | Statement: [Volta–Niger languages, containsLanguage, Igala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igala
Context triple: [Volta–Niger languages, containsLanguage, Igala]
  • A. Igala chosen
    Igala are a major ethnic group in central Nigeria, known for their distinct language, rich cultural traditions, and historical kingdom along the Niger–Benue confluence.
  • B. Urhobo
    Urhobo is an ethnic group primarily located in the Niger Delta region of southern Nigeria, known for its rich cultural traditions, language, and festivals.
  • C. Chiga
    Chiga is a Bantu language spoken primarily by the Chiga (Kiga) people in southwestern Uganda near the Great Lakes region.
  • D. Idoma
    Idoma are an ethnic group primarily found in central Nigeria, known for their rich cultural traditions, distinctive language, and vibrant festivals.
  • E. Igbore
    Igbore is an urban neighborhood within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941e0560819080eee43a9ed0e1bb completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 8:33 p.m.