Triple

T4054985
Position Surface form Disambiguated ID Type / Status
Subject Okrika E84671 entity
Predicate hasDemonym P191 FINISHED
Object Okrikan
An Okrikan is a person originating from or associated with the town and local government area of Okrika in Rivers State, Nigeria.
 E411368 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: Okrikan | Statement: [Okrika, hasDemonym, Okrikan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okrikan
Context triple: [Okrika, hasDemonym, Okrikan]
  • A. Beni-Amer
    The Beni-Amer are a pastoralist ethnic group of mixed Beja and Tigre heritage living primarily in eastern Sudan and western Eritrea.
  • B. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • C. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • D. Amer
    Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
  • E. Owan
    Owan is an ethnic group in southern Nigeria, primarily inhabiting parts of Edo State and known for its distinct language and cultural traditions.
  • 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: Okrikan
Triple: [Okrika, hasDemonym, Okrikan]
Generated description
An Okrikan is a person originating from or associated with the town and local government area of Okrika in Rivers State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okrikan
Target entity description: An Okrikan is a person originating from or associated with the town and local government area of Okrika in Rivers State, Nigeria.
  • A. Beni-Amer
    The Beni-Amer are a pastoralist ethnic group of mixed Beja and Tigre heritage living primarily in eastern Sudan and western Eritrea.
  • B. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • C. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • D. Amer
    Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
  • E. Owan
    Owan is an ethnic group in southern Nigeria, primarily inhabiting parts of Edo State and known for its distinct language and cultural traditions.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaa84b88190856e179266769e6d completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a0f19c819084d23c3802ce8ca6 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5666c19f4819084f7e584e34f82c2 completed March 14, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b566cd444081908e61d131abd93d6d completed March 14, 2026, 1:46 p.m.
Created at: March 9, 2026, 3:38 p.m.