Triple

T34951545
Position Surface form Disambiguated ID Type / Status
Subject Aro oracle E1008012 entity
Predicate hasAlternativeName P39 FINISHED
Object Ibini Ukpabi
Ibini Ukpabi is a famous pre-colonial Igbo oracle of the Aro people in southeastern Nigeria, historically central to regional religion, politics, and the transatlantic slave trade.
E2155334 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: Ibini Ukpabi | Statement: [Aro oracle, hasAlternativeName, Ibini Ukpabi]
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: Ibini Ukpabi
Triple: [Aro oracle, hasAlternativeName, Ibini Ukpabi]
Generated description
Ibini Ukpabi is a famous pre-colonial Igbo oracle of the Aro people in southeastern Nigeria, historically central to regional religion, politics, and the transatlantic slave trade.

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_69f76dc5d4308190b77553ee07b1ede6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782cea4c881908ada116c80eafa15 completed May 3, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885d2ecdc81909ae0f3af6d600799 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38875849188190a5f9af61de4904e0 completed June 22, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3888bbc4f481908007c1d0c99c9576 completed June 22, 2026, 12:58 a.m.
Created at: May 3, 2026, 4 p.m.