Triple

T11590976
Position Surface form Disambiguated ID Type / Status
Subject Isanzu E274878 entity
Predicate hasAlternativeName P39 FINISHED
Object Kisanzu
Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
E934191 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: Kisanzu | Statement: [Isanzu, hasAlternativeName, Kisanzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisanzu
Context triple: [Isanzu, hasAlternativeName, Kisanzu]
  • A. Mizani
    Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
  • B. Ntumu
    Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • C. Kinyamwezi
    Kinyamwezi is a Bantu language spoken primarily by the Nyamwezi people in central Tanzania.
  • D. Kenuzi
    Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
  • E. Kiunga
    Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
  • 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: Kisanzu
Triple: [Isanzu, hasAlternativeName, Kisanzu]
Generated description
Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kisanzu
Target entity description: Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
  • A. Mizani
    Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
  • B. Ntumu
    Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • C. Kinyamwezi
    Kinyamwezi is a Bantu language spoken primarily by the Nyamwezi people in central Tanzania.
  • D. Kenuzi
    Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
  • E. Kiunga
    Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d894643ae48190837502b713f5b9c6 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714634b308190bdcb761f8b6712e7 completed April 21, 2026, 6:08 a.m.
NEDg Description generation batch_69e720fc0f38819083bd15169f2ce4bb completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72353c19c8190b7a579e9af823872 completed April 21, 2026, 7:12 a.m.
Created at: April 8, 2026, 9:38 p.m.