Triple

T3964434
Position Surface form Disambiguated ID Type / Status
Subject Masvingo E85980 entity
Predicate hasFormerName P65 FINISHED
Object Nyanda E85980 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: Nyanda | Statement: [Masvingo, hasFormerName, Nyanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyanda
Context triple: [Masvingo, hasFormerName, Nyanda]
  • A. Nyanda chosen
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • B. Ngwenyama
    Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
  • C. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • D. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • E. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97326888190bbfe15b218e3112e completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533bb92088190b7d0ba2eb92c3e80 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.