Triple

T21917141
Position Surface form Disambiguated ID Type / Status
Subject Bamileke languages E541208 entity
Predicate hasMember P10 FINISHED
Object Mengaka language
The Mengaka language is a Grassfields Bantu language spoken by the Bamileke people in western Cameroon.
E1508088 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: Mengaka language | Statement: [Bamileke languages, hasMember, Mengaka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengaka language
Context triple: [Bamileke languages, hasMember, Mengaka language]
  • A. Mankanya language
    The Mankanya language is an Atlantic language of the Niger-Congo family spoken primarily in parts of Guinea-Bissau, Senegal, and The Gambia by the Mankanya people.
  • B. Aka-Cari language
    The Aka-Cari language is an extinct Great Andamanese language once spoken by an indigenous group in the Andaman Islands of India.
  • C. Maka language
    The Maka language is a Bantu language spoken primarily in Cameroon by the Maka people, known for its rich noun class system and tonal phonology.
  • D. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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: Mengaka language
Triple: [Bamileke languages, hasMember, Mengaka language]
Generated description
The Mengaka language is a Grassfields Bantu language spoken by the Bamileke people in western Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mengaka language
Target entity description: The Mengaka language is a Grassfields Bantu language spoken by the Bamileke people in western Cameroon.
  • A. Mankanya language
    The Mankanya language is an Atlantic language of the Niger-Congo family spoken primarily in parts of Guinea-Bissau, Senegal, and The Gambia by the Mankanya people.
  • B. Aka-Cari language
    The Aka-Cari language is an extinct Great Andamanese language once spoken by an indigenous group in the Andaman Islands of India.
  • C. Maka language
    The Maka language is a Bantu language spoken primarily in Cameroon by the Maka people, known for its rich noun class system and tonal phonology.
  • D. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a13f09c819088b50585423a1835 completed May 18, 2026, 12:15 a.m.
NEDg Description generation batch_6a0a5a967d28819084a37207e17d4f68 completed May 18, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5b24f6708190bfe903dceb0e9210 completed May 18, 2026, 12:19 a.m.
Created at: April 16, 2026, 7:43 p.m.