Triple

T12387604
Position Surface form Disambiguated ID Type / Status
Subject Onuimo E295907 entity
Predicate partOf P40 FINISHED
Object Okigwe Zone E295902 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: Okigwe Zone | Statement: [Onuimo, partOf, Okigwe Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okigwe Zone
Context triple: [Onuimo, partOf, Okigwe Zone]
  • A. Okigwe chosen
    Okigwe is a town and major local government area in southeastern Nigeria known as an important commercial and educational center within Imo State.
  • B. Waterberg region
    The Waterberg region is a mountainous and biodiverse area in South Africa’s Limpopo province, known for its game reserves, scenic landscapes, and UNESCO-designated biosphere.
  • C. Rumuokwuta
    Rumuokwuta is a prominent urban town in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
  • D. Omaheke Region
    Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
  • E. Nzakara
    Nzakara is a Central African language variety closely related to Zande, spoken primarily in parts of the Central African Republic and neighboring regions.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.