Triple

T22908981
Position Surface form Disambiguated ID Type / Status
Subject Kribi E568530 entity
Predicate hasNearbyEthnicGroups P139568 FINISHED
Object Mabi
The Mabi are an ethnic group of Central Africa, primarily living in the coastal forest regions of southern Cameroon and neighboring areas.
 E1560909 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: Mabi | Statement: [Kribi, hasNearbyEthnicGroups, Mabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mabi
Context triple: [Kribi, hasNearbyEthnicGroups, Mabi]
  • A. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • B. Maba
    Maba are an ethnic group primarily inhabiting eastern Chad and western Sudan, known for their distinct language and cultural traditions.
  • C. Mabú
    Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
  • D. Mipha
    Mipha is a gentle and skilled Zora princess and Champion in The Legend of Zelda: Breath of the Wild, known for her healing powers and close bond with Link.
  • E. Maro
    Maro is a small coastal village in the municipality of Nerja, in the province of Málaga, Spain, known for its nearby cliffs, beaches, and the famous Nerja Caves.
  • 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: Mabi
Triple: [Kribi, hasNearbyEthnicGroups, Mabi]
Generated description
The Mabi are an ethnic group of Central Africa, primarily living in the coastal forest regions of southern Cameroon and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mabi
Target entity description: The Mabi are an ethnic group of Central Africa, primarily living in the coastal forest regions of southern Cameroon and neighboring areas.
  • A. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • B. Maba
    Maba are an ethnic group primarily inhabiting eastern Chad and western Sudan, known for their distinct language and cultural traditions.
  • C. Mabú
    Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
  • D. Mipha
    Mipha is a gentle and skilled Zora princess and Champion in The Legend of Zelda: Breath of the Wild, known for her healing powers and close bond with Link.
  • E. Maro
    Maro is a small coastal village in the municipality of Nerja, in the province of Málaga, Spain, known for its nearby cliffs, beaches, and the famous Nerja Caves.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9cfe238819094a5802343d0feec completed May 19, 2026, 1:16 a.m.
NEDg Description generation batch_6a0bbb4c32a4819086a4bfdf25476d78 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc2a2244819090ead891e1a866ed completed May 19, 2026, 1:26 a.m.
Created at: April 17, 2026, 3:42 p.m.