Triple

T12963265
Position Surface form Disambiguated ID Type / Status
Subject Akanu Ibiam International Airport E321198 entity
Predicate isInMetropolitanArea P294 FINISHED
Object Enugu metropolitan area 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: Enugu metropolitan area | Statement: [Akanu Ibiam International Airport, isInMetropolitanArea, Enugu metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enugu metropolitan area
Context triple: [Akanu Ibiam International Airport, isInMetropolitanArea, Enugu metropolitan area]
  • 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. Enugu East
    Enugu East is a local government area within Enugu State, Nigeria, encompassing part of the urban expanse of the city of Enugu.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e2f5e448190b56e74602c43358d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30fba90819096ea71152ed725e1 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 8:24 p.m.