Triple

T3327714
Position Surface form Disambiguated ID Type / Status
Subject A3 highway (Zimbabwe) E69956 entity
Predicate passesThrough P225 FINISHED
Object Rusape E327523 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: Rusape | Statement: [A3 highway (Zimbabwe), passesThrough, Rusape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rusape
Context triple: [A3 highway (Zimbabwe), passesThrough, Rusape]
  • A. Rusape chosen
    Rusape is a town in eastern Zimbabwe that serves as an important commercial and administrative center in Manicaland Province.
  • B. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • C. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Rotse
    Rotse is an alternative name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and surrounding regions.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ce34c81908df0c30a41fd925c completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.