Triple

T101584
Position Surface form Disambiguated ID Type / Status
Subject Nigeria E2050 entity
Predicate containsCity P294 FINISHED
Object Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
E13039 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: Ibadan | Statement: [Nigeria, containsCity, Ibadan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibadan
Context triple: [Nigeria, containsCity, Ibadan]
  • A. 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.
  • B. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • C. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • D. Nairobi
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • E. Luanda
    Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
  • 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: Ibadan
Triple: [Nigeria, containsCity, Ibadan]
Generated description
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ibadan
Target entity description: Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • A. 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.
  • B. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • C. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • D. Nairobi
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • E. Luanda
    Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
  • 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_69a2917a5a7081909f1c3ec53bc51dfb completed Feb. 28, 2026, 6:55 a.m.
NEDg Description generation batch_69a2940c5a448190a7f5f9a24cd13440 completed Feb. 28, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69a295d0d658819085a125015f087dfb completed Feb. 28, 2026, 7:14 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.