Triple

T12963225
Position Surface form Disambiguated ID Type / Status
Subject Coal City E321197 entity
Predicate hasAlternativeName P39 FINISHED
Object Coal City of Nigeria 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: Coal City of Nigeria | Statement: [Coal City, hasAlternativeName, Coal City of Nigeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coal City of Nigeria
Context triple: [Coal City, hasAlternativeName, Coal City of Nigeria]
  • A. Nsukka, Nigeria
    Nsukka, Nigeria is a university town in southeastern Nigeria known for its influential art scene and as a center of contemporary African art.
  • B. Benin City
    Benin City is a major urban center in southern Nigeria, historically known as the capital of the ancient Benin Kingdom and renowned for its rich cultural heritage and bronze artworks.
  • C. City of Aba
    The City of Aba is a major commercial and industrial urban center in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • D. Abakaliki
    Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
  • E. 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.
  • 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_69f6b8e227948190a2d08db97b4e41aa completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:24 p.m.