Triple

T10247861
Position Surface form Disambiguated ID Type / Status
Subject Njebi E240263 entity
Predicate alternateName P39 FINISHED
Object Nzebi E47983 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: Nzebi | Statement: [Njebi, alternateName, Nzebi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nzebi
Context triple: [Njebi, alternateName, Nzebi]
  • A. Nzebi chosen
    Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
  • B. Umuahia
    Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
  • C. Ogwashi-Ukwu
    Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • D. Ejisu
    Ejisu is a prominent town and municipal capital in Ghana’s Ashanti Region, known for its historical significance within the Ashanti Kingdom and its role as a commercial and administrative center.
  • E. Udichi
    Udichi is a section or unit within the Uttarayan Complex, likely serving as one of its residential or functional blocks.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:27 a.m.