Triple

T2626542
Position Surface form Disambiguated ID Type / Status
Subject Salisbury E59130 entity
Predicate locatedIn P40 FINISHED
Object Mashonaland E47508 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: Mashonaland | Statement: [Salisbury, locatedIn, Mashonaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mashonaland
Context triple: [Salisbury, locatedIn, 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. Matabeleland
    Matabeleland is a historical region in southwestern Zimbabwe, traditionally inhabited by the Ndebele people and centered around the city of Bulawayo.
  • C. 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.
  • D. 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.
  • E. Mashonaland East Province
    Mashonaland East Province is an administrative region in northeastern Zimbabwe known for its agricultural activities and rural landscapes.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f84f2c5c819084c82bfbd6a3b6f0 completed March 11, 2026, 11:18 p.m.
Created at: March 6, 2026, 9:50 p.m.