Triple

T2584074
Position Surface form Disambiguated ID Type / Status
Subject British Gold Coast E57157 entity
Predicate significantCity P12871 FINISHED
Object Kumasi E156961 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: Kumasi | Statement: [British Gold Coast, significantCity, Kumasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumasi
Context triple: [British Gold Coast, significantCity, Kumasi]
  • 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. Takoradi
    Takoradi is a coastal city in southwestern Ghana that developed into a key commercial and industrial hub, particularly known for its deep-water seaport and role in regional trade.
  • C. Accra
    Accra is the capital and largest city of Ghana, known as a major economic, political, and cultural hub in West Africa.
  • D. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • E. Ashaiman
    Ashaiman is a densely populated urban municipality in southern Ghana that functions as a major residential and commercial hub near the capital, Accra.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cb33a08190a3eae1a95e1b63bf completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98adae948190a08ffa1eef4cb91a completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:49 p.m.