Triple

T6771131
Position Surface form Disambiguated ID Type / Status
Subject Potou–Tano languages E155043 entity
Predicate includesLanguage P2177 FINISHED
Object Ebrié language
The Ebrié language is a Kwa language spoken by the Ebrié people primarily around the Ébrié Lagoon near Abidjan in Côte d’Ivoire.
 E617299 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: Ebrié language | Statement: [Potou–Tano languages, includesLanguage, Ebrié language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebrié language
Context triple: [Potou–Tano languages, includesLanguage, Ebrié language]
  • A. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • B. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • C. Echie language
    The Echie language is a Niger-Congo language spoken in Rivers State, Nigeria, particularly associated with the Etche people and closely related to other Igboid languages.
  • D. Yemba language
    Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • E. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • 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: Ebrié language
Triple: [Potou–Tano languages, includesLanguage, Ebrié language]
Generated description
The Ebrié language is a Kwa language spoken by the Ebrié people primarily around the Ébrié Lagoon near Abidjan in Côte d’Ivoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebrié language
Target entity description: The Ebrié language is a Kwa language spoken by the Ebrié people primarily around the Ébrié Lagoon near Abidjan in Côte d’Ivoire.
  • A. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • B. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • C. Echie language
    The Echie language is a Niger-Congo language spoken in Rivers State, Nigeria, particularly associated with the Etche people and closely related to other Igboid languages.
  • D. Yemba language
    Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • E. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • 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.