Triple

T2353858
Position Surface form Disambiguated ID Type / Status
Subject Mashonaland E47508 entity
Predicate borders P224 FINISHED
Object Manicaland E64969 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: Manicaland | Statement: [Mashonaland, borders, Manicaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manicaland
Context triple: [Mashonaland, borders, Manicaland]
  • A. Manicaland Province chosen
    Manicaland Province is an eastern region of Zimbabwe known for its mountainous landscapes, rich mineral resources, and proximity to the border with Mozambique.
  • B. Mashonaland region
    Mashonaland region is a historical and agricultural region in northern Zimbabwe that includes the capital city, Harare, and is a key center of the country’s population and political life.
  • C. Harare Province
    Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
  • D. Matabeleland
    Matabeleland is a historical region in southwestern Zimbabwe, traditionally inhabited by the Ndebele people and centered around the city of Bulawayo.
  • E. Chinhoyi
    Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fa6ecc8190821c9d5db341cf19 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7ac4c8819091132fa9cb265552 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:54 p.m.