Triple

T1128841
Position Surface form Disambiguated ID Type / Status
Subject Cameroon E24780 entity
Predicate majorCity P316 FINISHED
Object Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
 E141174 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: Maroua | Statement: [Cameroon, majorCity, Maroua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maroua
Context triple: [Cameroon, majorCity, Maroua]
  • A. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • B. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • C. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • D. La Bénoué
    La Bénoué is the French name for the Benue River, a major West African waterway flowing primarily through Cameroon and Nigeria before joining the Niger River.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport 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: Maroua
Triple: [Cameroon, majorCity, Maroua]
Generated description
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maroua
Target entity description: Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • A. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • B. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • C. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • D. La Bénoué
    La Bénoué is the French name for the Benue River, a major West African waterway flowing primarily through Cameroon and Nigeria before joining the Niger River.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a010c10819081994835ae7a809a completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a8a9b208190aed3bcc4697415d1 completed March 7, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b17ae048190b32e89d2f2a60ba3 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:44 p.m.