Triple

T17615171
Position Surface form Disambiguated ID Type / Status
Subject Midlands Province, Zimbabwe E429063 entity
Predicate containsTown P847 FINISHED
Object Mberengwa 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: Mberengwa | Statement: [Midlands Province, Zimbabwe, containsTown, Mberengwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mberengwa
Context triple: [Midlands Province, Zimbabwe, containsTown, Mberengwa]
  • A. Mberengwa chosen
    Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
  • B. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • C. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • D. Bulange
    Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
  • E. Chipinga
    Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.