Triple

T11397718
Position Surface form Disambiguated ID Type / Status
Subject Duru languages E270021 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Waka language
Waka language is a lesser-known Afro-Asiatic language spoken in parts of Nigeria, belonging to the Duru branch of the Adamawa languages.
 E923604 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: Waka language | Statement: [Duru languages, hasMemberLanguage, Waka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waka language
Context triple: [Duru languages, hasMemberLanguage, Waka language]
  • A. Kawi language
    Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
  • B. Warekena language
    The Warekena language is an indigenous Arawakan language spoken by the Warekena people of the Rio Negro region in Brazil and Venezuela.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Nakanai language
    The Nakanai language is an Austronesian language spoken by the Nakanai people of New Britain in Papua New Guinea.
  • E. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • 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: Waka language
Triple: [Duru languages, hasMemberLanguage, Waka language]
Generated description
Waka language is a lesser-known Afro-Asiatic language spoken in parts of Nigeria, belonging to the Duru branch of the Adamawa languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waka language
Target entity description: Waka language is a lesser-known Afro-Asiatic language spoken in parts of Nigeria, belonging to the Duru branch of the Adamawa languages.
  • A. Kawi language
    Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
  • B. Warekena language
    The Warekena language is an indigenous Arawakan language spoken by the Warekena people of the Rio Negro region in Brazil and Venezuela.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Nakanai language
    The Nakanai language is an Austronesian language spoken by the Nakanai people of New Britain in Papua New Guinea.
  • E. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cd74280819092f8c420630f4889 completed April 20, 2026, 2:17 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.