Triple

T6106162
Position Surface form Disambiguated ID Type / Status
Subject South Region E136121 entity
Predicate containsDepartment P1467 FINISHED
Object Mvila
Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
 E577313 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: Mvila | Statement: [South Region, containsDepartment, Mvila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mvila
Context triple: [South Region, containsDepartment, Mvila]
  • A. Nomvula
    "Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • E. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • 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: Mvila
Triple: [South Region, containsDepartment, Mvila]
Generated description
Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mvila
Target entity description: Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
  • A. Nomvula
    "Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • E. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d56f234819082d89a755ae5a446 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c216517d2c8190bf242c2e19bf5dd0 completed March 24, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69c216bdd3ac819087458b76791eebfa completed March 24, 2026, 4:44 a.m.
Created at: March 22, 2026, 4:13 p.m.