Triple

T3111862
Position Surface form Disambiguated ID Type / Status
Subject Manicaland Province E64969 entity
Predicate hasCity P316 FINISHED
Object Rusape
Rusape is a town in eastern Zimbabwe that serves as an important commercial and administrative center in Manicaland Province.
 E327523 NE FINISHED

How this triple was built (4 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: [Manicaland Province, hasCity, Rusape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rusape
Context triple: [Manicaland Province, hasCity, Rusape]
  • A. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • B. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • C. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • D. Rotse
    Rotse is an alternative name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and surrounding regions.
  • E. Tshiguvhu
    Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rusape
Triple: [Manicaland Province, hasCity, Rusape]
Generated description
Rusape is a town in eastern Zimbabwe that serves as an important commercial and administrative center in Manicaland Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rusape
Target entity description: Rusape is a town in eastern Zimbabwe that serves as an important commercial and administrative center in Manicaland Province.
  • A. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • B. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • C. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • D. Rotse
    Rotse is an alternative name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and surrounding regions.
  • E. Tshiguvhu
    Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • F. None of above. chosen

Provenance (5 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20397cbdc8190abdd93b502f9577f completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:04 p.m.