Triple

T6771133
Position Surface form Disambiguated ID Type / Status
Subject Potou–Tano languages E155043 entity
Predicate includesLanguage P2177 FINISHED
Object Adioukrou language
The Adioukrou language is a Kwa language spoken by the Adioukrou people of southern Côte d’Ivoire.
 E619867 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: Adioukrou language | Statement: [Potou–Tano languages, includesLanguage, Adioukrou language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adioukrou language
Context triple: [Potou–Tano languages, includesLanguage, Adioukrou language]
  • A. Fante language
    Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
  • B. Baoulé language
    The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
  • C. Konkomba language
    Konkomba language is a Gur language spoken primarily by the Konkomba people in northern Ghana and neighboring Togo.
  • D. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • E. Gbe languages
    The Gbe languages are a cluster of closely related Niger-Congo languages spoken primarily in southeastern Ghana, Togo, Benin, and southwestern Nigeria, including well-known varieties such as Ewe and Fon.
  • 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: Adioukrou language
Triple: [Potou–Tano languages, includesLanguage, Adioukrou language]
Generated description
The Adioukrou language is a Kwa language spoken by the Adioukrou people of southern Côte d’Ivoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adioukrou language
Target entity description: The Adioukrou language is a Kwa language spoken by the Adioukrou people of southern Côte d’Ivoire.
  • A. Fante language
    Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
  • B. Baoulé language
    The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
  • C. Konkomba language
    Konkomba language is a Gur language spoken primarily by the Konkomba people in northern Ghana and neighboring Togo.
  • D. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • E. Gbe languages
    The Gbe languages are a cluster of closely related Niger-Congo languages spoken primarily in southeastern Ghana, Togo, Benin, and southwestern Nigeria, including well-known varieties such as Ewe and Fon.
  • 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_69c71a7da01c8190995885eeb4ba6253 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b88b27c8190b803f0e9f6402c44 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c91e08c81908be81efc2087464a completed March 28, 2026, 12:10 a.m.
Created at: March 27, 2026, 2:13 p.m.