Triple

T3258380
Position Surface form Disambiguated ID Type / Status
Subject Kafue River E68350 entity
Predicate majorCityOnRiver P316 FINISHED
Object Chingola
Chingola is a mining town in Zambia’s Copperbelt Province, known for its large copper mines and role in the country’s mining industry.
 E344408 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: Chingola | Statement: [Kafue River, majorCityOnRiver, Chingola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chingola
Context triple: [Kafue River, majorCityOnRiver, Chingola]
  • A. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Gcaleka
    Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
  • 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: Chingola
Triple: [Kafue River, majorCityOnRiver, Chingola]
Generated description
Chingola is a mining town in Zambia’s Copperbelt Province, known for its large copper mines and role in the country’s mining industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chingola
Target entity description: Chingola is a mining town in Zambia’s Copperbelt Province, known for its large copper mines and role in the country’s mining industry.
  • A. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Gcaleka
    Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8369b708190aeddf21dd9440d6a completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9c808188190b681557e010ce159 completed March 12, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea5d38808190a11ebcad2c384db7 completed March 12, 2026, 4:31 p.m.
Created at: March 8, 2026, 3:09 p.m.