Triple

T38615248

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ughievwen	`E934595`	entity
Predicate	belongsToEthnicMacrogroup	`P45393`	FINISHED
Object	Niger-Congo peoples The Niger-Congo peoples are a vast and diverse collection of ethnic groups across sub-Saharan Africa who speak Niger-Congo languages, one of the world’s largest language families.	`E8177`	NE FINISHED

How this triple was built (3 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: Niger-Congo peoples | Statement: [Ughievwen, belongsToEthnicMacrogroup, Niger-Congo peoples]

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: Niger-Congo peoples
Triple: [Ughievwen, belongsToEthnicMacrogroup, Niger-Congo peoples]

Generated description

The Niger-Congo peoples are a vast and diverse collection of ethnic groups across sub-Saharan Africa who speak Niger-Congo languages, one of the world’s largest language families.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: belongsToEthnicMacrogroup
Context triple: [Ughievwen, belongsToEthnicMacrogroup, Niger-Congo peoples]

A. hasEthnicGroupType
Indicates that an entity is associated with, characterized by, or classified according to a particular type or category of ethnic group.
B. mayBelongToEthnicGroup
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
C. belongsToEthnicAutonomousSystem
Indicates that an entity is part of, or under the jurisdiction of, an ethnic autonomous administrative system or region.
D. belongsToEthnographicRegion
Indicates that an entity is associated with or situated within a specific ethnographic region defined by shared cultural or ethnic characteristics.
E. containedEthnicGroup chosen
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
F. None of above.

Provenance (6 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_69f76eccd6d081909ccce171011739a1`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_6a00694f72888190983fee7d687a6daa`	completed	May 10, 2026, 11:17 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41f447353481908292d76c8bf88b76`	completed	June 29, 2026, 4:27 a.m.
NEDg	Description generation	`batch_6a41f582da6081909e324be0d1abc76e`	completed	June 29, 2026, 4:33 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41f6229fb8819099ba86f2db3ae6d1`	completed	June 29, 2026, 4:35 a.m.
PD	Predicate disambiguation	`batch_6a00685dbf44819098ea0c86bb9e50d8`	completed	May 10, 2026, 11:13 a.m.

Created at: May 3, 2026, 4:32 p.m.