Triple

T6771114
Position Surface form Disambiguated ID Type / Status
Subject Potou–Tano languages E155043 entity
Predicate includesLanguage P2177 FINISHED
Object Fante language E302238 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: Fante language | Statement: [Potou–Tano languages, includesLanguage, Fante language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fante language
Context triple: [Potou–Tano languages, includesLanguage, Fante language]
  • A. Fante language chosen
    Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
  • B. Baoulé language
    The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
  • C. Sateré-Mawé language
    The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • D. Potou–Tano languages
    The Potou–Tano languages are a major branch of the Kwa language family spoken primarily in West Africa, including several important languages of Ghana and neighboring countries.
  • E. Konkomba language
    Konkomba language is a Gur language spoken primarily by the Konkomba people in northern Ghana and neighboring Togo.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:13 p.m.