Triple

T2466809
Position Surface form Disambiguated ID Type / Status
Subject Adamawa–Ubangi languages E55269 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Waja language
The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
 E270019 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: Waja language | Statement: [Adamawa–Ubangi languages, hasNotableLanguage, Waja language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waja language
Context triple: [Adamawa–Ubangi languages, hasNotableLanguage, Waja language]
  • A. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • B. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • C. Aja language
    The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
  • D. 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.
  • E. Kwa languages
    Kwa languages are a major branch of the Niger-Congo language family spoken primarily in southern West Africa, including parts of Ghana, Côte d’Ivoire, Togo, and Benin.
  • 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: Waja language
Triple: [Adamawa–Ubangi languages, hasNotableLanguage, Waja language]
Generated description
The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waja language
Target entity description: The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • A. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • B. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • C. Aja language
    The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
  • D. 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.
  • E. Kwa languages
    Kwa languages are a major branch of the Niger-Congo language family spoken primarily in southern West Africa, including parts of Ghana, Côte d’Ivoire, Togo, and Benin.
  • 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.