Triple

T12795718
Position Surface form Disambiguated ID Type / Status
Subject Abeokuta South E305883 entity
Predicate hasUrbanArea P316 FINISHED
Object Kuto
Kuto is a neighborhood and urban district within the city of Abeokuta in Ogun State, southwestern Nigeria.
E1004531 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: Kuto | Statement: [Abeokuta South, hasUrbanArea, Kuto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuto
Context triple: [Abeokuta South, hasUrbanArea, Kuto]
  • A. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • B. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kabua
    Kabua is a Marshallese surname most notably associated with Amata Kabua, the first President of the Marshall Islands.
  • E. Sohawa
    Sohawa is a town in Pakistan’s Punjab province that serves as an important local center within the Jhelum District.
  • 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: Kuto
Triple: [Abeokuta South, hasUrbanArea, Kuto]
Generated description
Kuto is a neighborhood and urban district within the city of Abeokuta in Ogun State, southwestern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuto
Target entity description: Kuto is a neighborhood and urban district within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • A. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • B. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kabua
    Kabua is a Marshallese surname most notably associated with Amata Kabua, the first President of the Marshall Islands.
  • E. Sohawa
    Sohawa is a town in Pakistan’s Punjab province that serves as an important local center within the Jhelum District.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec0d5dc819099a8036c6cbac634 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:30 p.m.