Triple

T12409152
Position Surface form Disambiguated ID Type / Status
Subject Northwest Bantu E296467 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
E982519 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: Bafia language | Statement: [Northwest Bantu, hasMemberLanguage, Bafia language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bafia language
Context triple: [Northwest Bantu, hasMemberLanguage, Bafia language]
  • A. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • B. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • C. Babine language
    The Babine language is an Indigenous Athabaskan language spoken by the Babine (Nadot'en) people of British Columbia, Canada.
  • D. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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: Bafia language
Triple: [Northwest Bantu, hasMemberLanguage, Bafia language]
Generated description
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bafia language
Target entity description: The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • A. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • B. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • C. Babine language
    The Babine language is an Indigenous Athabaskan language spoken by the Babine (Nadot'en) people of British Columbia, Canada.
  • D. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348af5a8819083a075d145b15fd4 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:55 p.m.