Triple

T11921589
Position Surface form Disambiguated ID Type / Status
Subject Kayunga District E283668 entity
Predicate hasTown P847 FINISHED
Object Nazigo
Nazigo is a small town located in Uganda’s Kayunga District, known primarily as a local trading and administrative center for the surrounding rural communities.
 E954647 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: Nazigo | Statement: [Kayunga District, hasTown, Nazigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nazigo
Context triple: [Kayunga District, hasTown, Nazigo]
  • A. Digoin
    Digoin is a commune in eastern France known for its location at the junction of several canals and the Loire River in the Saône-et-Loire department.
  • B. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • C. Gedo
    Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
  • D. Zannanza
    Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
  • E. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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: Nazigo
Triple: [Kayunga District, hasTown, Nazigo]
Generated description
Nazigo is a small town located in Uganda’s Kayunga District, known primarily as a local trading and administrative center for the surrounding rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nazigo
Target entity description: Nazigo is a small town located in Uganda’s Kayunga District, known primarily as a local trading and administrative center for the surrounding rural communities.
  • A. Digoin
    Digoin is a commune in eastern France known for its location at the junction of several canals and the Loire River in the Saône-et-Loire department.
  • B. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • C. Gedo
    Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
  • D. Zannanza
    Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
  • E. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44033c288819099587af3f895eac5 completed May 1, 2026, 5:54 a.m.
NEDg Description generation batch_69f448fa8eec81909fe6ac0902f46998 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44aef15148190ba8090681b921ffa completed May 1, 2026, 6:40 a.m.
Created at: April 8, 2026, 9:45 p.m.