Triple

T6576433
Position Surface form Disambiguated ID Type / Status
Subject Djenné Chiini language E155574 entity
Predicate closelyRelatedTo P37 FINISHED
Object Koyraboro Senni language
The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
 E610424 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: Koyraboro Senni language | Statement: [Djenné Chiini language, closelyRelatedTo, Koyraboro Senni language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koyraboro Senni language
Context triple: [Djenné Chiini language, closelyRelatedTo, Koyraboro Senni language]
  • A. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • B. Yemba language
    Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • C. Manguissa language
    The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
  • D. Badaga language
    Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • E. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • 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: Koyraboro Senni language
Triple: [Djenné Chiini language, closelyRelatedTo, Koyraboro Senni language]
Generated description
The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koyraboro Senni language
Target entity description: The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
  • A. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • B. Yemba language
    Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • C. Manguissa language
    The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
  • D. Badaga language
    Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • E. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedddd3c8190bd5505ba265ecf8d completed March 27, 2026, 8:55 p.m.
NEDg Description generation batch_69c6f26a7c488190b9f5653481003149 completed March 27, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6f321abd8819096640e037b205cb2 completed March 27, 2026, 9:14 p.m.
Created at: March 27, 2026, 1:54 p.m.