Triple

T10489338
Position Surface form Disambiguated ID Type / Status
Subject Maba language E247372 entity
Predicate glottologName P6521 FINISHED
Object Maba (Chad)
Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
 E867070 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: Maba (Chad) | Statement: [Maba language, glottologName, Maba (Chad)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maba (Chad)
Context triple: [Maba language, glottologName, Maba (Chad)]
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Sarh
    Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
  • C. northern Chad
    Northern Chad is a sparsely populated Saharan region characterized by desert landscapes, nomadic communities, and significant ethnic diversity including groups such as the Gorane.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Mbouda
    Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
  • 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: Maba (Chad)
Triple: [Maba language, glottologName, Maba (Chad)]
Generated description
Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maba (Chad)
Target entity description: Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Sarh
    Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
  • C. northern Chad
    Northern Chad is a sparsely populated Saharan region characterized by desert landscapes, nomadic communities, and significant ethnic diversity including groups such as the Gorane.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Mbouda
    Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.