Triple

T6177961
Position Surface form Disambiguated ID Type / Status
Subject Northern Region E137865 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
 E576494 NE FINISHED

How this triple was built (4 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: Nanumba | Statement: [Northern Region, hasEthnicGroup, Nanumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanumba
Context triple: [Northern Region, hasEthnicGroup, Nanumba]
  • A. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • B. Nwapa
    Nwapa is the surname of Flora Nwapa, a pioneering Nigerian novelist often regarded as the mother of modern African women’s literature.
  • C. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • D. Nandom
    Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nanumba
Triple: [Northern Region, hasEthnicGroup, Nanumba]
Generated description
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanumba
Target entity description: The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • A. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • B. Nwapa
    Nwapa is the surname of Flora Nwapa, a pioneering Nigerian novelist often regarded as the mother of modern African women’s literature.
  • C. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • D. Nandom
    Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • F. None of above. chosen

Provenance (5 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc9f3d88190ab46b3b246f5a8df completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef0f76881909d678010d0c064e7 completed March 23, 2026, 4:48 p.m.
NEDg Description generation batch_69c1be0624088190b20fdfa389ebf092 completed March 23, 2026, 10:26 p.m.
NED2 Entity disambiguation (via description) batch_69c1bec4844081908baa5abbc4cb3221 completed March 23, 2026, 10:29 p.m.
Created at: March 22, 2026, 4:18 p.m.