Triple

T19071542
Position Surface form Disambiguated ID Type / Status
Subject Masbuta E466801 entity
Predicate requiresRole P6843 FINISHED
Object ganzibra NE NERFINISHED

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: ganzibra | Statement: [Masbuta, requiresRole, ganzibra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ganzibra
Context triple: [Masbuta, requiresRole, ganzibra]
  • A. ganzibra chosen
    A ganzibra is a high-ranking priest in the Mandaean religious tradition, responsible for leading rituals and safeguarding sacred knowledge.
  • B. Ganz
    Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
  • C. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • D. Ganhanbili
    Ganhanbili is a figure in Australian Aboriginal mythology known as the consort of the creator spirit Baiame.
  • E. Sabon Gari
    Sabon Gari is a historically significant, predominantly non-indigenous residential and commercial district in northern Nigeria, known for its diverse population and vibrant markets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19fa6948190bdf8e8ec022e12f2 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:04 p.m.