Triple

T11303447
Position Surface form Disambiguated ID Type / Status
Subject Oti Region E267653 entity
Predicate hasLanguageCommunity P5562 FINISHED
Object Konkomba language E574516 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: Konkomba language | Statement: [Oti Region, hasLanguageCommunity, Konkomba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konkomba language
Context triple: [Oti Region, hasLanguageCommunity, Konkomba language]
  • A. Konkomba language chosen
    Konkomba language is a Gur language spoken primarily by the Konkomba people in northern Ghana and neighboring Togo.
  • B. Baoulé language
    The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
  • C. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • D. Adioukrou language
    The Adioukrou language is a Kwa language spoken by the Adioukrou people of southern Côte d’Ivoire.
  • E. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • 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_69e525b4bdb88190b22d64eb65e97d9d completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:32 p.m.