Triple

T10777154
Position Surface form Disambiguated ID Type / Status
Subject Aniocha South Local Government Area E254227 entity
Predicate hasSettlement P1068 FINISHED
Object Oko
Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
 E884094 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: Oko | Statement: [Aniocha South Local Government Area, hasSettlement, Oko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oko
Context triple: [Aniocha South Local Government Area, hasSettlement, Oko]
  • A. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • B. Oku
    Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • C. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • D. Okoa
    Okoa is a small island located within the Vavaʻu island group in the Kingdom of Tonga, known for its tropical marine environment.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • 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: Oko
Triple: [Aniocha South Local Government Area, hasSettlement, Oko]
Generated description
Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oko
Target entity description: Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • A. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • B. Oku
    Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • C. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • D. Okoa
    Okoa is a small island located within the Vavaʻu island group in the Kingdom of Tonga, known for its tropical marine environment.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de2720635c8190a9f75f40414884e2 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cee8e0c8190a5f40308e02433c0 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.