Triple

T38668833
Position Surface form Disambiguated ID Type / Status
Subject Oron language E940527 entity
Predicate spokenInLocalGovernmentArea P46920 FINISHED
Object Okobo Local Government Area
Okobo Local Government Area is an administrative region in Akwa Ibom State, Nigeria, known as one of the areas where the Oron language is traditionally spoken.
E2283755 NE FINISHED

How this triple was built (2 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: Okobo Local Government Area | Statement: [Oron language, spokenInLocalGovernmentArea, Okobo Local Government Area]
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: Okobo Local Government Area
Triple: [Oron language, spokenInLocalGovernmentArea, Okobo Local Government Area]
Generated description
Okobo Local Government Area is an administrative region in Akwa Ibom State, Nigeria, known as one of the areas where the Oron language is traditionally spoken.

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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdc116b988190a5465fde331f3014 completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a42ca7f3b4c8190a1a1422da434124c completed June 29, 2026, 7:41 p.m.
NEDg Description generation batch_6a42cb5bec408190afe06e29e3feea7b completed June 29, 2026, 7:45 p.m.
NED2 Entity disambiguation (via description) batch_6a42dcda915c8190ae695a1363ed8d22 completed June 29, 2026, 9 p.m.
Created at: May 3, 2026, 4:33 p.m.