Triple

T10248045
Position Surface form Disambiguated ID Type / Status
Subject Mbede E240268 entity
Predicate hasDialect P4251 FINISHED
Object Mbere
Mbere is a Bantu language variety spoken in Central Africa, recognized as a dialect of the Mbede language.
E240268 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: Mbere | Statement: [Mbede, hasDialect, Mbere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbere
Context triple: [Mbede, hasDialect, Mbere]
  • A. Mbede
    Mbede is a Bantu language spoken in Central Africa, primarily in Gabon and neighboring regions.
  • B. Mamfe
    Mamfe is a town in western Cameroon known as an important local trade and transport hub near the Nigerian border.
  • C. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • D. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • E. Merefa
    Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
  • 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: Mbere
Triple: [Mbede, hasDialect, Mbere]
Generated description
Mbere is a Bantu language variety spoken in Central Africa, recognized as a dialect of the Mbede language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mbere
Target entity description: Mbere is a Bantu language variety spoken in Central Africa, recognized as a dialect of the Mbede language.
  • A. Mbede chosen
    Mbede is a Bantu language spoken in Central Africa, primarily in Gabon and neighboring regions.
  • B. Mamfe
    Mamfe is a town in western Cameroon known as an important local trade and transport hub near the Nigerian border.
  • C. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • D. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • E. Merefa
    Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
  • F. None of above.

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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fea9c508190b92f7205424861cd completed April 9, 2026, 7:06 a.m.
NEDg Description generation batch_69d751ceeb60819085d391faa803873e completed April 9, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, 11:27 a.m.