Triple

T22726507
Position Surface form Disambiguated ID Type / Status
Subject Grassfields E562007 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Bangwa
The Bangwa are a Bantu-speaking ethnic group of Cameroon’s western highlands, known for their complex chieftaincy system and highly valued wooden sculptures and masks.
 E1552536 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: Bangwa | Statement: [Grassfields, hasEthnicGroup, Bangwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangwa
Context triple: [Grassfields, hasEthnicGroup, Bangwa]
  • A. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • B. Tontemboan
    Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
  • C. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Ebanga
    Ebanga is a monoclonal antibody drug used to treat Zaire ebolavirus infection (Ebola virus disease).
  • 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: Bangwa
Triple: [Grassfields, hasEthnicGroup, Bangwa]
Generated description
The Bangwa are a Bantu-speaking ethnic group of Cameroon’s western highlands, known for their complex chieftaincy system and highly valued wooden sculptures and masks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangwa
Target entity description: The Bangwa are a Bantu-speaking ethnic group of Cameroon’s western highlands, known for their complex chieftaincy system and highly valued wooden sculptures and masks.
  • A. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • B. Tontemboan
    Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
  • C. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Ebanga
    Ebanga is a monoclonal antibody drug used to treat Zaire ebolavirus infection (Ebola virus disease).
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1792a2ee48190bfbdde1a72adfd25 completed April 29, 2026, 3:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fc2b3a08190a6273719b13e2602 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b93d4b8e08190a0542ffc42f12814 completed May 18, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b94bbb9c88190a7ab0937d1b398a5 completed May 18, 2026, 10:37 p.m.
Created at: April 17, 2026, 3:20 p.m.