Triple

T2233527
Position Surface form Disambiguated ID Type / Status
Subject Maban languages E49225 entity
Predicate hasMember P10 FINISHED
Object Maba language
The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
 E247372 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 language | Statement: [Maban languages, hasMember, Maba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maba language
Context triple: [Maban languages, hasMember, Maba language]
  • A. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • B. Maban languages
    Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
  • C. Mamfe languages
    The Mamfe languages are a small group of closely related Niger-Congo languages spoken primarily in the Mamfe region of southwestern Cameroon.
  • D. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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 language
Triple: [Maban languages, hasMember, Maba language]
Generated description
The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maba language
Target entity description: The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
  • A. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • B. Maban languages
    Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
  • C. Mamfe languages
    The Mamfe languages are a small group of closely related Niger-Congo languages spoken primarily in the Mamfe region of southwestern Cameroon.
  • D. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b020e308190a6d5a50a8e808aba completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b73bb688190bcade17d991c4862 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6be4431c81909c9b4ad82226215d completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:47 p.m.