Triple

T11302954
Position Surface form Disambiguated ID Type / Status
Subject Kusaal language E267640 entity
Predicate hasDialect P4251 FINISHED
Object Agole Kusaal E917980 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: Agole Kusaal | Statement: [Kusaal language, hasDialect, Agole Kusaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agole Kusaal
Context triple: [Kusaal language, hasDialect, Agole Kusaal]
  • A. Kusaal chosen
    Kusaal is a Gur (Voltaic) language spoken primarily in northeastern Ghana and parts of Burkina Faso by the Kusaasi people.
  • B. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • C. Kusaasi
    The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
  • D. Kala Lagaw Ya
    Kala Lagaw Ya is an Australian Aboriginal language of the Western Torres Strait, spoken by Torres Strait Islanders and known for its complex grammar and long-standing contact with Papuan and Austronesian languages.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525a842dc81909c84d8bd1a6414fa completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:32 p.m.