Triple

T11707692
Position Surface form Disambiguated ID Type / Status
Subject Akan states E278289 entity
Predicate included P1393 FINISHED
Object Wassa E347813 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: Wassa | Statement: [Akan states, included, Wassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wassa
Context triple: [Akan states, included, Wassa]
  • A. Wassa chosen
    Wassa was a historical Akan kingdom located in what is now southwestern Ghana, known for its role in regional trade and early interactions with European powers.
  • B. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • C. Volta River
    The Volta River is a major river system in West Africa that flows primarily through Ghana, where it feeds Lake Volta, one of the world’s largest artificial reservoirs.
  • D. Dyola
    Dyola is an alternative name for the Jola language spoken by the Jola people of West Africa, primarily in Senegal, Gambia, and Guinea-Bissau.
  • E. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49de0388190a063739426bf90e8 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.