Triple

T21418373
Position Surface form Disambiguated ID Type / Status
Subject Kobine Festival E528365 entity
Predicate languageContext P36 FINISHED
Object Dagaare 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: Dagaare | Statement: [Kobine Festival, languageContext, Dagaare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagaare
Context triple: [Kobine Festival, languageContext, Dagaare]
  • A. Dagaaba chosen
    The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
  • B. Dagana
    Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
  • C. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • D. Darejan
    Darejan is a Georgian female given name historically borne by noblewomen, including members of the Dadiani family.
  • E. Daguragu
    Daguragu is a small Aboriginal community in the Northern Territory of Australia, historically significant as the site of the Wave Hill Walk-Off and a landmark in Indigenous land rights.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:46 p.m.