Triple

T22618062
Position Surface form Disambiguated ID Type / Status
Subject Savannah Region E558198 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Dagbani 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: Dagbani | Statement: [Savannah Region, hasLocalLanguage, Dagbani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagbani
Context triple: [Savannah Region, hasLocalLanguage, Dagbani]
  • A. Dagbani chosen
    Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
  • B. Dagari
    Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
  • C. Dagomba
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • D. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • E. Dikgonnye
    Dikgonnye is a village located in Botswana’s Kgatleng District.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167ef7a148190870334af9c8b79a4 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.