Triple

T12963571
Position Surface form Disambiguated ID Type / Status
Subject Aba Women’s Riot of 1929 E321207 entity
Predicate location P40 FINISHED
Object Igboland E409198 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: Igboland | Statement: [Aba Women’s Riot of 1929, location, Igboland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igboland
Context triple: [Aba Women’s Riot of 1929, location, Igboland]
  • A. Igboland chosen
    Igboland is the traditional homeland of the Igbo ethnic group in southeastern Nigeria, known for its rich cultural heritage, dense population, and historical role in West African trade and politics.
  • B. Igbore
    Igbore is an urban neighborhood within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • C. Ijeshaland
    Ijeshaland is a culturally rich Yoruba sub-region in southwestern Nigeria, traditionally inhabited by the Ijesha people and known for its distinct language dialect, festivals, and historical heritage.
  • D. Ijebuland
    Ijebuland is a historic Yoruba sub-region in southwestern Nigeria, known for its distinct cultural heritage, traditional institutions, and influential Ijebu people.
  • E. Ogoniland
    Ogoniland is an oil-rich coastal region in Nigeria’s Niger Delta, known for its Ogoni inhabitants and for severe environmental degradation linked to decades of petroleum extraction.
  • 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_69d97e30b7e88190ac07c91147b62d16 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f74cb388190836484a1dd7d1d67 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 8:25 p.m.