Triple

T101582
Position Surface form Disambiguated ID Type / Status
Subject Nigeria E2050 entity
Predicate containsCity P294 FINISHED
Object Kano
Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
 E13198 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: Kano | Statement: [Nigeria, containsCity, Kano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kano
Context triple: [Nigeria, containsCity, Kano]
  • A. Mogadishu
    Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
  • B. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • C. Khartoum
    Khartoum is the capital and largest city of Sudan, located at the confluence of the Blue and White Nile rivers and serving as a major political, economic, and cultural center in the region.
  • D. Lagos
    Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
  • E. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • 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: Kano
Triple: [Nigeria, containsCity, Kano]
Generated description
Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kano
Target entity description: Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • A. Mogadishu
    Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
  • B. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • C. Khartoum
    Khartoum is the capital and largest city of Sudan, located at the confluence of the Blue and White Nile rivers and serving as a major political, economic, and cultural center in the region.
  • D. Lagos
    Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
  • E. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256a8b6d0819083838a9708759407 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29820a4948190aea1d566cc3738ac completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a298822e7c8190b37a31a9cc19bc54 completed Feb. 28, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69a298f38e4881908210642539f15378 completed Feb. 28, 2026, 7:27 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.