Triple

T22338416
Position Surface form Disambiguated ID Type / Status
Subject Asante Kotoko SC E552210 entity
Predicate cityCountry P39274 FINISHED
Object Kumasi, Ghana NE NERFINISHED

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: Kumasi, Ghana | Statement: [Asante Kotoko SC, cityCountry, Kumasi, Ghana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumasi, Ghana
Context triple: [Asante Kotoko SC, cityCountry, Kumasi, Ghana]
  • A. Kumasi chosen
    Kumasi is a major city in southern Ghana, known as the historic capital of the Ashanti Kingdom and a key cultural and commercial center in West Africa.
  • B. Winneba, Ghana
    Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
  • C. Obuasi
    Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
  • D. Mampong
    Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
  • E. Kpando
    Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.