Triple

T6771331
Position Surface form Disambiguated ID Type / Status
Subject Baoulé language E155047 entity
Predicate closelyRelatedTo P37 FINISHED
Object Bono language
The Bono language is a Central Tano (Akan) language of West Africa, spoken primarily by the Bono people of Ghana and closely related to other Akan varieties.
 E617319 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: Bono language | Statement: [Baoulé language, closelyRelatedTo, Bono language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bono language
Context triple: [Baoulé language, closelyRelatedTo, Bono language]
  • A. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • B. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • C. Bonan language
    The Bonan language is an endangered Mongolic language spoken primarily by the Bonan ethnic group in Gansu and Qinghai provinces of China.
  • D. Bondei language
    The Bondei language is a Bantu language spoken by the Bondei people of northeastern Tanzania, particularly in the Tanga region.
  • E. Busoa language
    The Busoa language is an Austronesian language spoken by a small community in Southeast Sulawesi, Indonesia.
  • 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: Bono language
Triple: [Baoulé language, closelyRelatedTo, Bono language]
Generated description
The Bono language is a Central Tano (Akan) language of West Africa, spoken primarily by the Bono people of Ghana and closely related to other Akan varieties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bono language
Target entity description: The Bono language is a Central Tano (Akan) language of West Africa, spoken primarily by the Bono people of Ghana and closely related to other Akan varieties.
  • A. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • B. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • C. Bonan language
    The Bonan language is an endangered Mongolic language spoken primarily by the Bonan ethnic group in Gansu and Qinghai provinces of China.
  • D. Bondei language
    The Bondei language is a Bantu language spoken by the Bondei people of northeastern Tanzania, particularly in the Tanga region.
  • E. Busoa language
    The Busoa language is an Austronesian language spoken by a small community in Southeast Sulawesi, Indonesia.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.