Triple

T2466800
Position Surface form Disambiguated ID Type / Status
Subject Adamawa–Ubangi languages E55269 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Mumuye language
The Mumuye language is a Niger-Congo language spoken primarily by the Mumuye people in northeastern Nigeria.
 E270015 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: Mumuye language | Statement: [Adamawa–Ubangi languages, hasNotableLanguage, Mumuye language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mumuye language
Context triple: [Adamawa–Ubangi languages, hasNotableLanguage, Mumuye language]
  • A. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • B. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • C. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Muna language
    The Muna language is an Austronesian language spoken primarily on Muna Island in Southeast Sulawesi, Indonesia, known for its rich verbal morphology and distinct phonological system.
  • 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: Mumuye language
Triple: [Adamawa–Ubangi languages, hasNotableLanguage, Mumuye language]
Generated description
The Mumuye language is a Niger-Congo language spoken primarily by the Mumuye people in northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mumuye language
Target entity description: The Mumuye language is a Niger-Congo language spoken primarily by the Mumuye people in northeastern Nigeria.
  • A. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • B. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • C. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Muna language
    The Muna language is an Austronesian language spoken primarily on Muna Island in Southeast Sulawesi, Indonesia, known for its rich verbal morphology and distinct phonological system.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179ccbd081908b7cff0052597e85 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1909dd588190b0311d0464ad4cda completed March 9, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69af19e240148190be7645e1813e0bae completed March 9, 2026, 7:05 p.m.
Created at: March 6, 2026, 9:44 p.m.