Triple

T12165895
Position Surface form Disambiguated ID Type / Status
Subject Nupe E289831 entity
Predicate hasNeighboringGroup P5965 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: [Nupe, hasNeighboringGroup, Igala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igala
Context triple: [Nupe, hasNeighboringGroup, 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. Akwanga
    Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717defe48190bc63b83e2c276ebc completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:50 p.m.