Triple

T6435993
Position Surface form Disambiguated ID Type / Status
Subject Southwest Region (Cameroon) E129895 entity
Predicate containsTown P847 FINISHED
Object Mundemba
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
 E593390 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: Mundemba | Statement: [Southwest Region (Cameroon), containsTown, Mundemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mundemba
Context triple: [Southwest Region (Cameroon), containsTown, Mundemba]
  • A. Ngoni
    Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
  • B. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • C. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • 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: Mundemba
Triple: [Southwest Region (Cameroon), containsTown, Mundemba]
Generated description
Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mundemba
Target entity description: Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
  • A. Ngoni
    Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
  • B. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • C. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069622eb881908b40fc8079d312d6 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbf31bc8190981362639a0e1ce5 completed March 27, 2026, 9:19 a.m.
NEDg Description generation batch_69c64c467d4881909a2bb21e64ed8962 completed March 27, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69c64cb64a78819086a84cf36bb06a1b completed March 27, 2026, 9:24 a.m.
Created at: March 22, 2026, 4:45 p.m.