Triple

T36225007
Position Surface form Disambiguated ID Type / Status
Subject Agbani campus E1047959 entity
Predicate locatedIn P40 FINISHED
Object Agbani, Enugu State, Nigeria
Agbani, in Enugu State, Nigeria, is a semi-urban town best known as an educational hub that hosts major institutions such as the Nigerian Law School’s Enugu campus and the main campus of Godfrey Okoye University.
E2175888 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: Agbani, Enugu State, Nigeria | Statement: [Agbani campus, locatedIn, Agbani, Enugu State, 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: Agbani, Enugu State, Nigeria
Triple: [Agbani campus, locatedIn, Agbani, Enugu State, Nigeria]
Generated description
Agbani, in Enugu State, Nigeria, is a semi-urban town best known as an educational hub that hosts major institutions such as the Nigerian Law School’s Enugu campus and the main campus of Godfrey Okoye University.

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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b583a72481908411abb0daeb9f2d completed May 3, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d34d0d481909fb22f17afd87f3b completed June 22, 2026, 2:56 p.m.
NEDg Description generation batch_6a394e193f4c81908694652d7126698d completed June 22, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a3968453570819084081dc21fc59a21 completed June 22, 2026, 4:52 p.m.
Created at: May 3, 2026, 4:09 p.m.