Triple

T22049528
Position Surface form Disambiguated ID Type / Status
Subject Grant Flower E544845 entity
Predicate domesticTeam P57174 FINISHED
Object Mashonaland 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: Mashonaland | Statement: [Grant Flower, domesticTeam, Mashonaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mashonaland
Context triple: [Grant Flower, domesticTeam, Mashonaland]
  • A. Mashonaland region chosen
    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.
  • B. Mashonaland Central Province
    Mashonaland Central Province is a predominantly rural administrative region in northern Zimbabwe known for its agriculture and proximity to the capital, Harare.
  • C. Matabeleland
    Matabeleland is a historical region in southwestern Zimbabwe, traditionally inhabited by the Ndebele people and centered around the city of Bulawayo.
  • D. Mashonaland West Province
    Mashonaland West Province is a region in northern Zimbabwe known for its rich agricultural lands, mineral resources, and wildlife areas along the Zambezi River.
  • E. Manicaland Province
    Manicaland Province is an eastern region of Zimbabwe known for its mountainous landscapes, rich mineral resources, and proximity to the border with Mozambique.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128323fb08190b9592fd08a96cba0 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.