Triple

T12464381
Position Surface form Disambiguated ID Type / Status
Subject Lutheran Church of Cameroon E297883 entity
Predicate hasHeadquartersLocation P62 FINISHED
Object Ngaoundéré E468660 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: Ngaoundéré | Statement: [Lutheran Church of Cameroon, hasHeadquartersLocation, Ngaoundéré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngaoundéré
Context triple: [Lutheran Church of Cameroon, hasHeadquartersLocation, Ngaoundéré]
  • A. Ngaoundéré chosen
    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.
  • B. Bamenda
    Bamenda is a prominent city in northwestern Cameroon known as a cultural and commercial hub of the Anglophone region.
  • C. 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.
  • D. Kumbo
    Kumbo is a major town in Cameroon's Anglophone Grassfields, known as an important cultural, religious, and commercial center of the Northwest Region.
  • E. Moundou
    Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db7828481909d8f02b2fde83567 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba3983c8190aef5e3b6a6d2e41e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.