Triple

T16833219
Position Surface form Disambiguated ID Type / Status
Subject Chukwu E409199 entity
Predicate region P40 FINISHED
Object Southeastern Nigeria
Southeastern Nigeria is a culturally diverse and densely populated region of Nigeria, predominantly inhabited by Igbo-speaking communities and known for its vibrant commerce, rich traditions, and significant role in the country’s political and economic life.
E11709 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: Southeastern Nigeria | Statement: [Chukwu, region, Southeastern Nigeria]
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: Southeastern Nigeria
Triple: [Chukwu, region, Southeastern Nigeria]
Generated description
Southeastern Nigeria is a culturally diverse and densely populated region of Nigeria, predominantly inhabited by Igbo-speaking communities and known for its vibrant commerce, rich traditions, and significant role in the country’s political and economic life.

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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31981ac8190bbd9720efe842778 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10d9cc70808190b72a2d2bf7d14568 completed May 22, 2026, 10:33 p.m.
NEDg Description generation batch_6a10ddc8e4188190959ea1e7d360aba5 completed May 22, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a10de259fd4819087f0f5707196792d completed May 22, 2026, 10:52 p.m.
Created at: April 10, 2026, 5:23 a.m.