Triple

T15949495
Position Surface form Disambiguated ID Type / Status
Subject Manu Dibango E386775 entity
Predicate placeOfBirth P1 FINISHED
Object Douala, Cameroon E132327 NE FINISHED

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: Douala, Cameroon | Statement: [Manu Dibango, placeOfBirth, Douala, Cameroon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douala, Cameroon
Context triple: [Manu Dibango, placeOfBirth, Douala, Cameroon]
  • A. Beni Douala
    Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
  • B. Douala chosen
    Douala is the economic capital and main port city of Cameroon, located on the Wouri River along the Atlantic coast.
  • C. 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.
  • D. 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.
  • E. Yaoundé
    Yaoundé is the political and administrative center of Cameroon, known for its hilly terrain and role as a major cultural and economic hub in Central Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.