Triple

T6077244
Position Surface form Disambiguated ID Type / Status
Subject West Region E135430 entity
Predicate hasDepartment P35 FINISHED
Object Ménoua
Ménoua is an administrative department located in the West Region of Cameroon, known for its highland landscapes and agricultural activities.
E567548 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: Ménoua | Statement: [West Region, hasDepartment, Ménoua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ménoua
Context triple: [West Region, hasDepartment, Ménoua]
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • C. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Saloum
    Saloum was a precolonial West African kingdom in present-day Senegal that succeeded the Wolof Empire and became one of the major Serer-led states in the region.
  • 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: Ménoua
Triple: [West Region, hasDepartment, Ménoua]
Generated description
Ménoua is an administrative department located in the West Region of Cameroon, known for its highland landscapes and agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ménoua
Target entity description: Ménoua is an administrative department located in the West Region of Cameroon, known for its highland landscapes and agricultural activities.
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • C. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Saloum
    Saloum was a precolonial West African kingdom in present-day Senegal that succeeded the Wolof Empire and became one of the major Serer-led states in the region.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0576ef2c88190b0ec62e9f041d176 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d48f0508190991453dc17c53b89 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11ed5a5748190b7320890397c8ce9 completed March 23, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69c11f34218c819094ce32eafff37489 completed March 23, 2026, 11:08 a.m.
Created at: March 22, 2026, 4:11 p.m.