Triple

T19817954
Position Surface form Disambiguated ID Type / Status
Subject West Region (Cameroon) E476108 entity
Predicate hasCity P316 FINISHED
Object Bafoussam NE NERFINISHED

How this triple was built (2 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: Bafoussam | Statement: [West Region (Cameroon), hasCity, Bafoussam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bafoussam
Context triple: [West Region (Cameroon), hasCity, Bafoussam]
  • A. Bafoussam chosen
    Bafoussam is a major city in western Cameroon known as an important economic and cultural center of the Bamileke people.
  • B. Kousséri
    Kousséri is a town in northern Cameroon located on the Logone River, serving as a key border crossing and commercial link with N'Djamena, the capital of Chad.
  • C. Dzaoudzi
    Dzaoudzi is a coastal town on the island of Petite-Terre in Mayotte, serving as one of the territory’s main urban centers and former capital.
  • D. Zinder
    Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
  • E. Nouadhibou
    Nouadhibou is a major coastal city in northwestern Mauritania, known as an important fishing and commercial hub on the Atlantic coast near the Western Sahara border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fac7b481909a19ae0d608e01d9 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.