Triple

T16767828
Position Surface form Disambiguated ID Type / Status
Subject Opokuma language E407512 entity
Predicate hasAlternativeName P39 FINISHED
Object Opokuma Ijaw
Opokuma Ijaw is a dialect of the Ijaw language spoken by the Opokuma people in Nigeria’s Niger Delta region.
E1231996 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: Opokuma Ijaw | Statement: [Opokuma language, hasAlternativeName, Opokuma Ijaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opokuma Ijaw
Context triple: [Opokuma language, hasAlternativeName, Opokuma Ijaw]
  • A. Ogbia
    Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
  • B. Okrika Ijaw
    Okrika Ijaw are a prominent coastal subgroup of the Ijaw ethnic group in Nigeria, traditionally known for fishing, trade, and their role in the Niger Delta region.
  • C. Ubiaja
    Ubiaja is a historic town in Edo State, Nigeria, serving as a major center of Esan culture and administration.
  • D. Ibafo
    Ibafo is a rapidly developing suburban town in Ogun State, Nigeria, situated close to Lagos and known for its growing residential estates and commercial activity.
  • E. Akoka
    Akoka is a neighborhood in Lagos, Nigeria, known for hosting parts of the University of Lagos and being situated within the Yaba area.
  • 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: Opokuma Ijaw
Triple: [Opokuma language, hasAlternativeName, Opokuma Ijaw]
Generated description
Opokuma Ijaw is a dialect of the Ijaw language spoken by the Opokuma people in Nigeria’s Niger Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Opokuma Ijaw
Target entity description: Opokuma Ijaw is a dialect of the Ijaw language spoken by the Opokuma people in Nigeria’s Niger Delta region.
  • A. Ogbia
    Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
  • B. Okrika Ijaw
    Okrika Ijaw are a prominent coastal subgroup of the Ijaw ethnic group in Nigeria, traditionally known for fishing, trade, and their role in the Niger Delta region.
  • C. Ubiaja
    Ubiaja is a historic town in Edo State, Nigeria, serving as a major center of Esan culture and administration.
  • D. Ibafo
    Ibafo is a rapidly developing suburban town in Ogun State, Nigeria, situated close to Lagos and known for its growing residential estates and commercial activity.
  • E. Akoka
    Akoka is a neighborhood in Lagos, Nigeria, known for hosting parts of the University of Lagos and being situated within the Yaba area.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a5b3ce848190a73f06d9708bfc85 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.