Triple

T22407635
Position Surface form Disambiguated ID Type / Status
Subject Half of a Yellow Sun E553917 entity
Predicate depictsPlace P8908 FINISHED
Object Enugu NE NERFINISHED

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: Enugu | Statement: [Half of a Yellow Sun, depictsPlace, Enugu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enugu
Context triple: [Half of a Yellow Sun, depictsPlace, Enugu]
  • A. Enugu chosen
    Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
  • B. Owerri
    Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
  • C. Onitsha
    Onitsha is a major commercial and river port city on the eastern bank of the Niger River in southeastern Nigeria, known for its large open-air market and vibrant trade.
  • D. Makurdi
    Makurdi is the capital city of Benue State in central Nigeria, serving as an important administrative and commercial hub in the region.
  • E. Nnewi
    Nnewi is a major commercial and industrial city in southeastern Nigeria, renowned for its vibrant automotive parts manufacturing and trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158ba1c6481908e4b9b3635ed3a49 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.