Triple

T13572848
Position Surface form Disambiguated ID Type / Status
Subject Enugu East E324206 entity
Predicate partOfUrbanArea P294 FINISHED
Object City of Enugu E82541 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: City of Enugu | Statement: [Enugu East, partOfUrbanArea, City of Enugu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Enugu
Context triple: [Enugu East, partOfUrbanArea, City of Enugu]
  • A. Enugu chosen
    Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
  • B. Ogwashi-Ukwu Urban
    Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
  • C. Owerri
    Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
  • D. Nkwerre
    Nkwerre is a town and local government area in southeastern Nigeria known for its location within Imo State and its cultural and commercial activities.
  • E. Nnewi
    Nnewi is a major commercial and industrial city in southeastern Nigeria, renowned for its vibrant automotive parts manufacturing and trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 9:48 p.m.