Triple

T2670504
Position Surface form Disambiguated ID Type / Status
Subject Oyo Empire E55734 entity
Predicate tradedWith P2914 FINISHED
Object Hausaland E97767 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: Hausaland | Statement: [Oyo Empire, tradedWith, Hausaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hausaland
Context triple: [Oyo Empire, tradedWith, Hausaland]
  • A. Hausaland chosen
    Hausaland is a historical region of West Africa traditionally inhabited by the Hausa people, known for its influential city-states, trans-Saharan trade, and rich Islamic cultural heritage.
  • B. Oluganda
    Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
  • C. 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.
  • D. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • E. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98e7d00819088398206fc7db477 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05f1ba48190a93a399d1067912c completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.