Triple

T12272402
Position Surface form Disambiguated ID Type / Status
Subject Akoko-Edo E292501 entity
Predicate hasSettlement P1068 FINISHED
Object Akuku
Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
E975853 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: Akuku | Statement: [Akoko-Edo, hasSettlement, Akuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akuku
Context triple: [Akoko-Edo, hasSettlement, Akuku]
  • A. Nakasero
    Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
  • 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. Azumah
    Azumah is a Ghanaian given name most famously borne by legendary world champion boxer Azumah Nelson.
  • D. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • E. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • 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: Akuku
Triple: [Akoko-Edo, hasSettlement, Akuku]
Generated description
Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akuku
Target entity description: Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
  • A. Nakasero
    Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
  • 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. Azumah
    Azumah is a Ghanaian given name most famously borne by legendary world champion boxer Azumah Nelson.
  • D. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • E. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6981b48190a0fc5a571c425be1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622de74f0819096c5f5bf6f938fe7 completed May 2, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69f62379746c8190bc9da48775b86dfa completed May 2, 2026, 4:16 p.m.
Created at: April 8, 2026, 9:52 p.m.