Triple

T1302582
Position Surface form Disambiguated ID Type / Status
Subject Matabeleland North E27799 entity
Predicate contains P35 FINISHED
Object Umguza
Umguza is a rural district in western Zimbabwe known for its agricultural communities and proximity to the city of Bulawayo.
 E148727 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: Umguza | Statement: [Matabeleland North, contains, Umguza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Umguza
Context triple: [Matabeleland North, contains, Umguza]
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • D. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • E. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • 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: Umguza
Triple: [Matabeleland North, contains, Umguza]
Generated description
Umguza is a rural district in western Zimbabwe known for its agricultural communities and proximity to the city of Bulawayo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Umguza
Target entity description: Umguza is a rural district in western Zimbabwe known for its agricultural communities and proximity to the city of Bulawayo.
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • D. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • E. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb370c7cc81908a78bb5438416db6 completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb409b4d0819081266cf3e6c09164 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.