Triple

T22930939
Position Surface form Disambiguated ID Type / Status
Subject Mbouda E569435 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Bamenda 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: Bamenda | Statement: [Mbouda, hasRoadConnectionTo, Bamenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamenda
Context triple: [Mbouda, hasRoadConnectionTo, Bamenda]
  • A. Bamenda chosen
    Bamenda is a prominent city in northwestern Cameroon known as a cultural and commercial hub of the Anglophone region.
  • B. Buea
    Buea is a town in southwestern Cameroon, historically significant as an administrative center during colonial rule and today known as a regional capital near Mount Cameroon.
  • C. Kumbo
    Kumbo is a major town in Cameroon's Anglophone Grassfields, known as an important cultural, religious, and commercial center of the Northwest Region.
  • D. Ngaoundéré
    Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
  • E. Bangui
    Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18131956c8190b8c850fc1d57a119 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.