Triple

T6077246
Position Surface form Disambiguated ID Type / Status
Subject West Region E135430 entity
Predicate hasDepartment P35 FINISHED
Object Ndé
Ndé is an administrative division (department) located in Cameroon's West Region, known for its predominantly Bamiléké population and highland rural communities.
 E567550 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: Ndé | Statement: [West Region, hasDepartment, Ndé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ndé
Context triple: [West Region, hasDepartment, Ndé]
  • A. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Ndilǫ
    Ndilǫ is a small Dene First Nations community located on the shore of Great Slave Lake at the edge of Yellowknife in the Northwest Territories, Canada.
  • 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: Ndé
Triple: [West Region, hasDepartment, Ndé]
Generated description
Ndé is an administrative division (department) located in Cameroon's West Region, known for its predominantly Bamiléké population and highland rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ndé
Target entity description: Ndé is an administrative division (department) located in Cameroon's West Region, known for its predominantly Bamiléké population and highland rural communities.
  • A. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Ndilǫ
    Ndilǫ is a small Dene First Nations community located on the shore of Great Slave Lake at the edge of Yellowknife in the Northwest Territories, Canada.
  • 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.