Triple

T13712551
Position Surface form Disambiguated ID Type / Status
Subject Makoni District E328809 entity
Predicate administrativeCentre P1474 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: [Makoni District, administrativeCentre, Rusape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rusape
Context triple: [Makoni District, administrativeCentre, 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. Bashu
    Bashu is an ancient cultural and historical region in southwestern China, centered around present-day Sichuan and Chongqing, known for its distinct traditions, language, and early civilizations.
  • D. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • E. Relizane
    Relizane is a city in northwestern Algeria that serves as the capital of Relizane Province and an important regional agricultural and commercial center.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.