Triple

T22296629
Position Surface form Disambiguated ID Type / Status
Subject Jarawan languages E551137 entity
Predicate hasMember P10 FINISHED
Object Ndunda language
The Ndunda language is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
 E1529332 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: Ndunda language | Statement: [Jarawan languages, hasMember, Ndunda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ndunda language
Context triple: [Jarawan languages, hasMember, Ndunda language]
  • A. Umbundu language
    The Umbundu language is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • B. Ndut language
    The Ndut language is a Cangin language spoken by the Ndut people of Senegal, closely associated with the broader Serer linguistic and cultural sphere.
  • C. Ndoni language
    The Ndoni language is a lesser-known Igboid language spoken by the Ndoni people in parts of southern Nigeria.
  • D. Nyaturu language
    The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • E. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • 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: Ndunda language
Triple: [Jarawan languages, hasMember, Ndunda language]
Generated description
The Ndunda language is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ndunda language
Target entity description: The Ndunda language is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
  • A. Umbundu language
    The Umbundu language is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • B. Ndut language
    The Ndut language is a Cangin language spoken by the Ndut people of Senegal, closely associated with the broader Serer linguistic and cultural sphere.
  • C. Ndoni language
    The Ndoni language is a lesser-known Igboid language spoken by the Ndoni people in parts of southern Nigeria.
  • D. Nyaturu language
    The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • E. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9609788190a1e7306a47a3fb56 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acd67a4c88190bf64d4ecad0491b9 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0acdcc02ac8190a35b572701410c80 completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:41 p.m.