Triple

T5825557
Position Surface form Disambiguated ID Type / Status
Subject Zulu traditional religion E129213 entity
Predicate hasSpecialist P39849 FINISHED
Object inyanga
An inyanga is a traditional Zulu healer and herbalist who uses medicinal plants and spiritual knowledge to diagnose and treat illnesses.
 E547115 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: inyanga | Statement: [Zulu traditional religion, hasSpecialist, inyanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: inyanga
Context triple: [Zulu traditional religion, hasSpecialist, inyanga]
  • A. Igunga
    Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
  • B. Iyiyiu
    Iyiyiu is the endonym used by certain Cree peoples to refer to themselves and their own Indigenous nation.
  • C. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • E. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • 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: inyanga
Triple: [Zulu traditional religion, hasSpecialist, inyanga]
Generated description
An inyanga is a traditional Zulu healer and herbalist who uses medicinal plants and spiritual knowledge to diagnose and treat illnesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: inyanga
Target entity description: An inyanga is a traditional Zulu healer and herbalist who uses medicinal plants and spiritual knowledge to diagnose and treat illnesses.
  • A. Igunga
    Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
  • B. Iyiyiu
    Iyiyiu is the endonym used by certain Cree peoples to refer to themselves and their own Indigenous nation.
  • C. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • E. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341a85988190be988f1c0722da66 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985e3e748190abcc226abdcdb4b5 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c09978ab548190934bc9517444f8a7 completed March 23, 2026, 1:38 a.m.
Created at: March 22, 2026, 3:53 p.m.